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Analytical AI Agents with Looker’s Trusted Metrics, AI Powered Data Clean Rooms @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } 👋 Hey ,Happy Thursday! 🍃Welcome to BIPro #72—Your Weekly Dose of Data Brilliance!This week’s newsletter is packed with insights to boost your data game:🔮 Data Insights & Tools◉ Pipeline Perfection: Build Efficient Data Pipelines with Prefect◉ Taming Outliers: Handle Dataset Outliers Using Pandas◉ Regex Wizardry: 5 Tips for Data Cleaning with Regular Expressions◉ NumPy Secrets: Solve Nonlinear Equations with NumPy◉ Docker Essentials: Use Docker Volumes for Persistent Storage◉ Python Library Creation: A Beginner’s Guide to Pip Install YOU⚡ Industry Highlights◉ Microsoft Fabric: August 2024 Update, Advanced Anomaly Detection, Custom Sparklens JARs, and CI/CD Capabilities◉ AWS BI: Batch Data Processing with AWS Lambda, Zero Copy Data Sharing, and Unified Analytics◉ Google Cloud: Trusted Metrics with Looker, AI-Powered Data Clean Rooms◉ Tableau: New Features in Tableau 2023.1, Creative Collaboration with Deloitte, Salesforce CRM Integration, and Tableau Portals✨ Fresh Reads◉ Microsoft Power BI Cookbook by Greg Deckler & Brett Powell: Master data transformation◉ Big Data on Kubernetes by Neylson Crepalde: Build scalable data solutions◉ Big Data Using Hadoop and Hive by Nitin Kumar: Advanced Hadoop & Hive techniques◉ Tableau Masterclass 2024 by Nikolai Schuler: From Basics to Advanced Analytics💡 BI Community Scoop◉ Microsoft Fabric Security: Object, Column, and Row Level◉ SQL Performance: Local Variables and Metadata Insights◉ Data Replication & Integration: Change Data Capture Strategies◉ SQL Server Logs: How to Access Error LogsStay sharp and keep innovating with BIPro!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktSign Up|Advertise|Archives✨Fresh Off the Press: Exclusive New Titles Just for You!We’re thrilled to bring you this week’s must-have new releases, straight from the experts to your bookshelf! Whether you're eager to enhance your skills or explore new horizons, now is the perfect moment to add these invaluable resources to your collection.For a limited time, enjoy 30% off all eBooks at Packtpub.com. These books are thoughtfully crafted by industry insiders with hands-on experience, offering unique insights you won’t find anywhere else.Don’t let these Packt-exclusive deals slip away—seize the opportunity to learn from the best at an unbeatable price!Buy now at $29.99 $43.99Microsoft Power BI Cookbook: Convert raw data into business insights with updated techniques, use cases, and best practices, Third EditionBy Greg Deckler, Brett PowellIf you're looking to elevate your data game, the latest edition of the Power BI Cookbook is your perfect guide. Whether you're a seasoned BI developer or just diving into data analytics, this updated resource offers:◾ Deeper insights through Microsoft Data Fabric for robust data strategies.◾ Simplified creation of Hybrid tables, scorecards, and shared cloud connections.◾ Enhanced visualization tools to turn complex data into clear, actionable insights.With step-by-step guidance, this book equips you to navigate the evolving landscape of Power BI and stay ahead with the latest innovations. Perfect for refining skills or mastering new ones. Grab the Power BI Cookbook 3rd Edition now for just $29.99!Buy now at $21.99$31.99Big Data on Kubernetes: A practical guide to building efficient and scalable data solutionsBy Neylson CrepaldeIf you're navigating the complexities of big data in a cloud environment, Big Data on Kubernetes is your guide to mastering scalable, resilient data pipelines. This book offers practical insights to:◾ Seamlessly integrate Kubernetes with popular tools◾ Optimize big data pipelines for peak performance◾ Build end-to-end solutions with Spark, Airflow, and KafkaWhether you're just starting out or looking to enhance your expertise, this resource will empower you to handle real-world data challenges confidently. Grab it now at just $21.99 – save $10 on your essential big data guide!Buy now at $37.99$54.99Big Data Using Hadoop and Hive: Master Big Data Solutions with Hadoop and HiveBy Mercury Learning and Information, Nitin KumarLooking to master big data? This new release is your go-to guide for diving deep into Hadoop 3 and Hive 3.x. You’ll get:◾ Comprehensive coverage of Hadoop 3 and Hive 3.x◾ Real-world examples and sample code for practical applications◾ Advanced insights into YARN, MapReduce, and data compressionPerfect for developers and engineers, this book takes you from the basics of big data to advanced data management techniques, ensuring you can confidently set up, configure, and optimize Hadoop and Hive to tackle big data challenges. Ready to level up your data game? This guide is your essential companion. Unlock the power of big data for just $37.99—save $17 on this must-have first edition!Buy nowTableau Masterclass - 2024: Master Tableau: From Basics to Advanced Analytics [Video]By Nikolai SchulerReady to transform your data into compelling stories? This new release is your guide to mastering Tableau—from basic connections to advanced visualizations. Learn to blend data, craft dynamic dashboards, and publish your insights with confidence. Whether you're starting out or leveling up, this course equips you with everything you need to excel in data visualization.Key Benefits:◾ Master Tableau from basics to advanced features◾ Learn effective data visualization and storytelling techniques◾ Create, design, and publish interactive dashboardsGet ready to tackle any data visualization challenge with this detailed video guide! Become a Tableau Pro: 8-Hour Course for $109.99—Watch Now!🚀Business Intelligence Toolkit➤ PrefectHQ/prefect: Prefect simplifies Python data pipeline orchestration, transforming scripts into dynamic workflows that react to changes and ensure resilience.➤ airbytehq/airbyte: Airbyte, an open-source data integration platform, offers 300+ connectors for seamless ELT pipelines between diverse data sources and destinations.➤ argoproj/argo-workflows: Argo Workflows orchestrates parallel jobs on Kubernetes via container-native workflows, supporting DAGs and accelerating compute-intensive tasks like ML and data processing.➤ dagster-io/dagster:Dagster is a cloud-native data pipeline orchestrator with integrated lineage, observability, declarative programming, and robust testability across the lifecycle.➤ Avaiga/taipy: Taipy simplifies web app development for data scientists & ML engineers using Python, focusing on AI algorithms with no extra languages.Access 100+ data tools in this specially curated blog, covering everything from data analytics to business intelligence—all in one place. Check out "Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!" on PacktPub.com. Forward to a Friend!🔮Data Visualization with Python➤Building Data Pipeline with Prefect: The tutorial introduces Prefect, a modern workflow orchestration tool, by building a data pipeline with Pandas and comparing it to a Prefect workflow. It covers task orchestration, deployment, and monitoring of workflows, demonstrating Prefect's features for efficient workflow management and observability in MLOps.➤ How to Handle Outliers in Dataset with Pandas? This blog discusses the detection and handling of outliers in datasets, explaining their impact on data analysis and models, and explores various techniques such as removal, capping, imputation, and transformation to manage outliers effectively.➤ 5 Tips for Using Regular Expressions in Data Cleaning: This blog explains how to use regular expressions in Python for text processing and data cleaning, covering tasks like removing unwanted characters, extracting specific patterns, replacing text, validating data formats, and splitting strings, including examples with Pandas.➤ How to Use NumPy to Solve Systems of Nonlinear Equations? This blog explains nonlinear equations, their importance in modeling real-world problems, and how to solve them using Python's NumPy and SciPy. It covers defining equations, making initial guesses, solving systems, and visualizing results in 2D and 3D.➤ How to Use Docker Volumes for Persistent Data Storage? This blog explains how to use Docker volumes to persist data in PostgreSQL containers. It covers creating a Docker volume, running a PostgreSQL container with the volume, verifying data persistence, and ensuring data remains intact after stopping and restarting the container.➤ Pip Install YOU: A Beginner’s Guide to Creating Your Python Library. This blog provides a step-by-step guide for creating, structuring, and distributing custom Python libraries. It covers everything from project initialization, module creation, and adding tests to publishing the library on PyPI for others to use.⚡Stay Informed with Industry HighlightsMicrosoft Fabric➤ Microsoft Fabric August 2024 Update: The August 2024 Fabric update introduces key features: managing V-Order in Fabric Warehouses, ML experiment monitoring from the Monitor Hub, and streamlined Azure connectivity in Data Pipeline. It highlights the European Fabric Community Conference, new Copilot features, visual-level format strings in Power BI, and the Fabric Influencers Spotlight. Additionally, it stresses the importance of browser upgrades for Power BI and offers new certification and community engagement opportunities.➤ Advanced Time Series Anomaly Detector in Fabric: Azure's Anomaly Detector, retiring in October 2026, enabled time series anomaly detection using advanced algorithms. This blog outlines a migration strategy to Microsoft Fabric, leveraging similar algorithms with added benefits like easier model management, seamless data integration, and expanded detection capabilities using Fabric's native tools and the new time-series-anomaly-detector package.➤ Building a Custom Sparklens JAR for Microsoft Fabric: This blog explains how to build a Sparklens JAR compatible with Spark 3.X for profiling Microsoft Fabric Spark Notebooks. It covers modifying build and configuration files, updating code for Spark 3.X compatibility, and compiling and packaging the JAR for use in Microsoft Fabric.➤ Exploring CI/CD Capabilities in Microsoft Fabric: A Focus on Data Pipelines. This blog explores Microsoft Fabric's CI/CD features, focusing on automating and managing data integration and analytics processes. It highlights Git integration, deployment pipelines, and workspace setup for streamlined continuous integration and deployment. The blog also provides a step-by-step guide for setting up and operating CI/CD processes in Microsoft Fabric using Azure DevOps and Git.AWS BI➤ Efficiently processing batched data using parallelization in AWS Lambda: This post explains how to optimize AWS Lambda functions for efficient message processing by using techniques like batching and parallelization, enhancing resource utilization, reducing invocation times, and improving overall performance in high-volume data processing scenarios.➤ Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics: This article discusses how Salesforce and Amazon have collaborated to enable seamless, bidirectional Zero Copy data sharing between Salesforce Data Cloud and Amazon Redshift. It details how this integration allows analytics teams to access and analyze unified customer data without the need for traditional ETL processes, enhancing efficiency and accelerating insights.Google Cloud Data➤ Grounding Analytical AI Agents with Looker’s Trusted Metrics: This article explores how organizations can integrate AI, particularly Large Language Models (LLMs) like Gemini, with Google Cloud's data tools like Looker to enhance Business Intelligence (BI). By combining AI with Looker's semantic layer, companies can offer users intuitive, AI-driven insights, simplifying data access and decision-making processes. The article highlights the ease and effectiveness of training AI models to align with specific business needs, lowering barriers to data-driven decision-making and enabling faster, more accurate analytics.➤ Modern Marketer’s Strategic Advantage AI Powered Data Clean Rooms: This article explains how businesses can use Google BigQuery data clean rooms to securely analyze and share sensitive customer data across organizations, driving insights and collaboration. It highlights the importance of AI-powered data clean rooms for modern marketers to unlock insights, fuel innovation, and enhance customer experiences while maintaining data privacy and security.Tableau➤ What's New in Tableau 2023.1? The Tableau 2023.1 feature update includes significant enhancements such as improved Tableau-Slack integration, dynamic axis titles, Accelerator Data Mapping, and advanced management features like Identity Pools and RMT improvements. It also introduces new tools for developers, web authoring improvements, expanded data connectivity options, and enhanced data preparation and management capabilities.➤ Building a Culture of Creative Collaboration with Deloitte and Tableau: This article discusses the growing data and analytical skills gap in the AI-driven business landscape. It highlights the collaboration between Salesforce and Deloitte to bridge this gap through innovative talent development programs like Deloitte Viz Games, which foster a data-driven culture and enhance data literacy, analytics, and creative collaboration among employees.➤ Salesforce Embeds Tableau Pulse into its CRM: Salesforce has introduced Pulse for Salesforce, a version of Tableau Pulse integrated into Salesforce CRM, starting with Sales Cloud. Built on the Einstein 1 Platform, it leverages generative AI to provide personalized, contextual insights and metrics within users' workflows, enhancing data-driven decision-making and supporting daily business activities securely.➤ What Is a Tableau Portal? Tools, Benefits & Case Study. This article discusses Tableau Portals, customized web interfaces that integrate Tableau’s data visualization into a centralized, branded platform. It highlights the benefits of self-service analytics, centralized access, enhanced security, and improved customer experience. The article also details features like content management, alerts, and a case study showcasing the effectiveness of implementing Tableau Portals for client reporting. 💡What's the Latest Scoop from the BI Community?➤ Microsoft Fabric Warehouse Security: Object, Column and Row Level. The article addresses the challenge of implementing granular access control in Microsoft Fabric's data warehouse. It explores various security mechanisms like object-level, column-level, and row-level security to restrict sensitive data access. Additionally, it highlights limitations when users access data through Spark or OneLake, bypassing these controls.➤ SQL Local Variables and Performance Issues: The article discusses the potential negative impact of using local variables in T-SQL queries on performance. It explores how local variables can lead to inefficient query plans and offers solutions and workarounds to mitigate these issues, ultimately improving query performance.➤ SQL Metadata in sys.databases, sys.objects, sys.tables and sys.columns: The article explains how SQL Server metadata, which includes data about databases, tables, columns, and keys, can be accessed using sys schema catalog views like sys.databases, sys.objects, and sys.columns. It provides T-SQL examples to query and understand metadata, helping users efficiently manage and utilize SQL Server metadata for various database objects.➤ Data Replication and Change Data Capture for Data Integration: The article discusses the challenge of replicating real-time data from production databases to data products without impacting database performance. It introduces Integrate.io as a low-code platform offering high-velocity data replication using Change Data Capture (CDC) and ETL. The platform supports seamless data pipeline automation, scalability, and security, ensuring efficient real-time data integration for business intelligence applications.➤ Microsoft Fabric OneLake Role Based Access Control (RBAC): The article discusses how to implement granular access control in a Microsoft Fabric lakehouse using Role-Based Access Control (RBAC) in OneLake. This feature allows administrators to restrict access to specific folders or tables within a lakehouse, ensuring that users only access the data they are permitted to see.➤ How to Access the SQL Server Error Log? The article explains how to view SQL Server and SQL Agent error logs, highlighting three primary methods: using SQL Server Management Studio (SSMS) Log File Viewer, accessing logs via the system stored procedure `sp_readerrorlog`, and discussing when to use each method based on the need for speed, filtering, and custom log analysis.See you next time! Copyright (C) 2024 Packt Publishing. All rights reserved.Our mailing address is:Packt Publishing Grosvenor House 11 St Paul's Square Birmingham, West Midlands B3 1RB United KingdomWant to change how you receive these emails?You canupdate your preferencesorunsubscribe*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Custom T-SQL in Azure Studio, Dataproc Serverless Gets a Boost, SCD vs Overwrite, Patient Jarvis @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Shouldn't GenAI be doing all the cyber crap jobs by now?Learn about the latest in GenAI for vulnerability management, exposure management and cyber-asset security when you attend the CyberRisk Summit.This free, virtual event on Wednesday, Nov. 20 includes expert speakers from Yahoo, Wells Fargo, IBM, Vulcan Cyber and more. This is the ninth, semi-annual CyberRisk Summit. Attendees can request CPE credits, and all registrants get access to the session recordings. Join us!Register for freeSponsored🗞️Welcome to BIPro #84 – Your Weekly Dose of BI Brilliance! 🚀Fuel your data-driven decisions with the freshest trends, strategies, and hacks from the world of business intelligence.📊 Data Viz & Tools: Future-Proof Your Insights◘ Pandas + SQL = Powerhouse Duo: Unleash their combined potential for seamless data analysis.◘ DuckDB Demystified: A Python-based guide to effortless analytics.◘ Google Cloud’s Secure Data Playbook: Step-by-step to building a fortress-like platform.◘ Custom T-SQL in Azure Studio: Speed up workflows with tailored code snippets.◘ Master Pandas for Data Wrangling: Learn the essentials to transform tabular data.◘ Small Deployments Made Easy: Cloud Migration App simplifies the process.◘ Alteryx Fall 2024 Updates: Faster workflows, better reports—dive in!🔄 BI in Action: Real-World Innovations◘ REST APIs & Fabric: Master the art of data ingestion.◘ GraphQL Meets Fabric: Discover powerful relationships through Microsoft’s API.◘ Dataproc Serverless Gets a Boost: Performance upgrades you can’t miss.◘ Index Management 101: Clean databases = fast queries.◘ Saving Big on Open-Source DBs: Proven cost-cutting strategies.◘ Sentiment Analysis with WebAssembly: SingleStore’s clever approach.◘ Topgolf’s BI Makeover: Learn how QuickSight transformed their game.⚡ Quick Wins: BI Hacks You’ll Love◘ Power BI Magic: Running totals, averages, and more with aggregate functions.◘ SQL Simplified: Clear examples of IS NULL and IS NOT NULL usage.◘ SCD vs Overwrite: Navigate data warehouse dimensions with ease.◘ Moving Averages Made Simple: T-SQL windowing functions explained.◘ Streaming Architecture 101: Build with Apache Kafka and Zookeeper.◘ Patient Jarvis Solution: Fractal’s innovative approach to patient insights.🎤 Voices of BI: Wisdom from the Experts◘ Tableau Viz Extensions: Everything you need to level up visualizations.◘ Graph It Right: NetworkX tips for mastering graphs in Python.◘ Data Validation Done Right: Introducing Pandera for Python users.◘ Fixing Cross-Validation Flaws: Common pitfalls and practical solutions.◘ 6 Pillars of Data Analysis: A framework for actionable insights.◘ AlloyDB Omni 15.7.0: What’s new and why it matters.Enjoy this week’s curated lineup of BI brilliance!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ Using Pandas and SQL Together for Data Analysis: This blog helps you understand when to use SQL and Python together for data manipulation, showcasing how PandaSQL bridges SQL's readability with Python's flexibility for seamless integration and analysis in data workflows.⫸ A Guide to Data Analysis in Python with DuckDB: This blog introduces DuckDB, a powerful in-process OLAP database that lets you seamlessly query pandas DataFrames, CSVs, and Parquet files using SQL in Python. Learn how to set it up, generate sample data, and perform data analysis effortlessly.⫸ Learn how to build a secure data platform with Google Cloud ebook: Discover how Google Cloud secures data-driven innovation in the Building a Secure Data Platform with Google Cloud ebook. Learn about advanced tools like encryption, access controls, and compliance monitoring to protect your data while enabling intelligent applications and fostering business growth.⫸ How to Develop Custom T-SQL Code Snippets in Azure Data Studio: This blog guides you on efficiently using and creating custom T-SQL code snippets in Azure Data Studio, helping streamline your workflows by automating repetitive tasks and enhancing productivity in your SQL development process.⫸ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces you to the Pandas library, showcasing its power in data analysis and manipulation in Python. Learn key features, installation steps, and practical use cases like creating Series, performing arithmetic operations, and applying aggregations.⫸ How to Use the Cloud Migration App for Small Deployments? This blog introduces the Cloud Migration App for Small Deployments, a tool designed for Tableau administrators to easily transition content, users, and workbooks from Tableau Server to Tableau Cloud. Learn its key features, setup process, and limitations for efficient small-scale migrations.⫸ Alteryx Fall 2024 Release Improves Workflow Efficiency and Reporting: This blog highlights the Fall 2024 Alteryx Release, offering simplified workflows, AI-powered reporting, and enhanced data connectivity. Discover new tools for cloud integration, hybrid architectures, and streamlined productivity to revolutionize data-driven decision-making for businesses and IT leaders.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Ingesting Data From REST API endpoints: Data Engineering with Fabric. This blog guides you through leveraging REST APIs in Python using a Spotify use case. Learn how to authenticate, retrieve data, handle errors, and interact with endpoints using dynamic functions—all within a Fabric notebook environment.⫸ Relationships with Microsoft Fabric GraphQL API: This blog explores using the Microsoft Fabric GraphQL API to query data across related tables in a star schema. Learn how to create relationships, handle directional queries, and implement advanced many-to-many relationships to maximize data accessibility for end-users.⫸ Dataproc Serverless performance and usability updates: This post introduces new features in Dataproc Serverless to enhance your Spark experience, including faster native query execution, real-time monitoring with a built-in Spark UI, and Gemini-powered autotuning for smarter troubleshooting and performance optimization.⫸ A Tidy Database is a Fast Database: Why Index Management Matters: This post is about identifying, optimizing, and managing database indexes to improve SQL Server performance. Learn how to address unused, fragmented, and overlapping indexes, resolve missing index issues, and implement effective maintenance strategies for efficient resource use and faster queries.⫸ Cost Optimization Strategies for Large-Scale Open-Source DBs: This post guides you on managing large-scale open-source databases cost-effectively. It covers choosing the right database, optimizing infrastructure, tuning performance, leveraging automation, and implementing strategies like caching, sharding, and containerization for efficiency and scalability.⫸ Using SingleStore and WebAssembly for Sentiment Analysis: This article guides you in performing sentiment analysis on Stack Overflow comments using SingleStore and WebAssembly, demonstrating data ingestion, function creation, and analysis through SQL and Python in the SingleStore Cloud environment.⫸ Transforming data into insights: How Topgolf revolutionized business intelligence using Amazon QuickSight. This post highlights how Topgolf transformed its operations with Amazon QuickSight, enabling organization-wide data access, real-time insights, and tailored dashboards to optimize performance, improve customer experiences, and foster a culture of data-driven decision-making.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Aggregate Functions in Power BI - Running Total, Average, Max and Min: This post demonstrates how to create custom aggregations in Power BI using DAX (Data Analysis Expressions). Learn how to set up your data, build tailored measures, and gain precise insights to enhance your reports and data understanding.⫸ SQL IS NULL and SQL IS NOT NULL Examples: This post provides a clear guide on handling NULL values in SQL Server. Learn how to use IS NULL and IS NOT NULL operators effectively, understand the nuances of NULL, and avoid common pitfalls in SQL queries.⫸ Data Warehouse Considerations - SCD Type 2 vs Overwrite Dimensions: This post explores two key strategies for managing dimension table updates in data warehousing: Overwriting Tables and Slowly Changing Dimensions (SCD) Type 2. Learn their use cases, benefits, and why SCD Type 2 is often ideal for tracking historical data changes.⫸ Calculate a Moving Average with T-SQL Windowing Functions: This post explores two methods for calculating moving averages in SQL Server: an older self-join approach and a modern windowing function approach. Learn how to optimize queries and improve performance with indexes and efficient SQL techniques.⫸ Build a Streaming Data Architecture with Apache Kafka and Zookeeper: This article demonstrates how to use Apache Kafka and Zookeeper for real-time data streaming, showcasing a project to capture, process, and load data into Elasticsearch and Azure Data Lake Gen 2 for analysis.⫸ Revolutionizing Patient Insights with Fractal’s Patient Jarvis solution: This article introduces Fractal’s Patient Jarvis, an AI-powered solution designed to streamline pharmaceutical data analytics. It unifies claims data, leverages AWS-powered AI, and provides actionable insights to improve decision-making, operational efficiency, and patient outcomes in the pharmaceutical industry.🎤 Voices of BI: Lessons from Industry Experts⫸ Your Guide to Tableau Viz Extensions: This article highlights the revolutionary Viz Extensions in Tableau 2024.2, enabling the creation of complex visualizations—like Sankey diagrams, radar charts, and network diagrams—as easily as traditional charts, simplifying advanced analytics and expanding Tableau's capabilities.⫸ Navigating Networks with NetworkX: A Short Guide to Graphs in Python. This article introduces NetworkX, a Python library for building, analyzing, and visualizing networks, showcasing its applications in understanding complex relationships such as social connections or transportation systems through nodes and edges, enriched with attributes and algorithms.⫸ Data Validation with Pandera in Python: This article explores how Pandera, a Python library, streamlines data validation for dataframe-like objects in machine learning and analytics pipelines. It highlights Pandera's efficiency, scalability, and support for libraries like pandas and Dask, emphasizing its custom validations and schema-based approach to ensure data integrity.⫸ Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them)? This article critiques traditional cross-validation diagrams in data science, highlighting how they confuse the brain by making chunks of data appear as one moving piece. It proposes rethinking visuals to align with natural cognition and inclusivity.⫸ A Practical Framework for Data Analysis: 6 Essential Principles: This article outlines six essential data analysis principles for data scientists, focusing on techniques like establishing baselines, normalizing metrics, MECE grouping, aggregating data, removing irrelevant information, and applying the Pareto principle to extract actionable insights.⫸ What’s new in AlloyDB Omni version 15.7.0: The article highlights the new features in AlloyDB Omni version 15.7.0, including faster performance, an ultra-fast disk cache, an enhanced columnar engine,ScaNN vector indexing, and an updated Kubernetes operator, advancing PostgreSQL workflows across diverse environments.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Automated Migration - Alteryx to Microsoft Fabric, OpenAI Realtime API Simplifies Voice Agent Flows @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Transform Your GRC Program. No More Chasing Evidence.If you’re responsible for the GRC program in your organization, don't chase stakeholders for evidence.Use Anecdotes to continuously and indepandantly monitor your tech stack with credible GRC data.Whether you’re complying with SOX, NIST, PCI, or a custom framework, stop managing them in isolation. With Anecdotes’ advanced cross-mapping solution, you can reuse shared evidence across different scopes. Focus on strategy and strengthen your GRC program with Anecdotes.Let’s TalkSponsored🦋 Welcome to BIPro #78 – Your Weekly Business Intelligence Boost! 🚀Dive into this week’s freshest trends, strategies, and insights designed to elevate your data-driven success!📊 Future-Ready Data Visualization Trends✦ Low-Code AI Revolution: Harness Kumologica and Anthropic AI for effortless integration!✦ Search Engine Mastery: Craft powerful algorithms with ClickHouse.✦ LLM Apps Supercharged: Unlock potential using DSPy and Langfuse.✦ Voice Flow Simplified: Discover the ease of the new OpenAI Realtime API.✦ Data Tables Made Easy: Kickstart your Python web apps with robust data solutions.✦ Power BI Highlights: Your guide to the September 2024 features.🔄 Transformative Success Stories in BI✦ Data Management Made Simple: Efficiently delete large data sets in SQL Server.✦ Natural Language Queries: Unlock SQL with user-friendly applications.✦ SQL Server Insights: Navigate stored procedures, functions, and views seamlessly.✦ AI Alignment Unpacked: Explore the Gridworlds problem for innovative solutions.✦ AI Success Formula: Combining Kafka with AI guardrails for optimal performance.✦ Monthly BI Update: Fabric’s latest enhancements for September 2024.⚡ Instant Impact: Quick BI Hacks✦ LLM Integration Simplified: Leverage Scikit-Learn with Scikit-LLM effortlessly.✦ Command-Line Mastery: Build sleek Python apps using Click.✦ AI Chatbot Evolution: Maintain message history with LangChain and SQL.✦ Text Data Transformation: Get AI-ready with no-code solutions.✦ Seamless Integration: Google Cloud Cortex Framework meets Oracle EBS.🎤 BI Voices: Wisdom from Industry Leaders✦ Keynotes to Remember: Highlights from Microsoft and Redgate, plus insights from PASS Data Community Summit.✦ SQL Search Optimization: Master SQL LIKE wildcard searches for better performance.✦ Vector Search Simplified: Zero ETL solutions for Amazon DynamoDB with OpenSearch Service.✦ Alteryx Applications Unveiled: Discover 6 common use cases for impactful data meaning.✦ Streamlined Migration: Transitioning from Alteryx to Microsoft Fabric made easy.Get ready to boost your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Polars Cookbook: Unlock faster, more efficient data analysis with Python Polars through step-by-step recipes. Master data manipulation, advanced querying, and performance optimization. Learn to handle large datasets, perform complex transformations, and integrate Polars with other tools. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99📊 Data Viz Trends Shaping the Future of Insights➽ Low Code AI Agent Using Kumologica, Anthropic AI: This blog discusses how to use Kumologica and Anthropic AI to create an AI agent for customer feedback analysis in a mobile app. It walks through building an API, analyzing sentiment, and storing results in AWS DynamoDB.➽ Create a Search Engine, Algorithm With ClickHouse: This blog explains how to build a cost-effective, alternative search engine using ClickHouse instead of Elasticsearch. It covers indexing, scoring, and matching search queries with a unified dataset, improving search performance and efficiency.➽ Supercharge Your LLM Apps Using DSPy and Langfuse: This blog explores the rise of large language models (LLMs) and highlights challenges like prompt engineering. It introduces DSPy and Langfuse, frameworks to simplify LLM app development, optimize performance, and enhance debugging through observability and modular design.➽ Exploring How the New OpenAI Realtime API Simplifies Voice Agent Flows: This article reviews OpenAI's new Realtime API, which simplifies building low-latency, speech-to-speech AI applications. It compares previous multi-service voice agent workflows with the streamlined Realtime API setup, showcasing implementation, cost analysis, and potential benefits.➽ Getting Started with Powerful Data Tables in Your Python Web Apps: This blog details how a Python developer can create an interactive, feature-rich data grid using the Reflex framework and AG Grid without needing JavaScript. It explains building a finance app to display and manipulate stock data, with features like sorting, filtering, and graphing.➽ Power BI September 2024 Feature Summary: This post highlights Power BI's new features, including the much-anticipated Dark Mode, default cross-page summaries in Copilot, a streamlined menu bar, and Metrics Hub for consistent data management. It also introduces updates for visual calculations and formatting options.🔄 Real-World Transformation: How Gen BI Made Data Work➽ How to Delete Large Amounts of Data in Microsoft SQL Server? This blog discusses efficient techniques for large-scale data deletion in Microsoft SQL Server, including batching with the DELETE command, using TRUNCATE, partition switching, SELECT INTO, disabling indexes, and applying table locks. It emphasizes best practices like monitoring log growth and testing in non-production environments.➽ Natural Language SQL Query Application: This blog details building a web app that converts natural language into SQL queries using React, Node.js, PostgreSQL, and OpenAI. It simplifies querying for non-technical users, enabling seamless database interactions with natural language inputs, improving data accessibility.➽ SQL Server Metadata for Stored Procedures, Functions and Views: This blog demonstrates how to create, use, and track SQL modules like user-defined functions, stored procedures, and views in SQL Server. It also covers best practices for managing these modules using T-SQL scripts and metadata queries for efficient database management.➽ Exploring the AI Alignment Problem with Gridworlds: The blog discusses the AI alignment problem, highlighting risks of advanced AI misaligning with human interests. It critiques common objections, explores hidden objectives in AI learning, and introduces "AI Safety Gridworlds" for testing AI behavior without explicit instructions.➽ How to succeed with AI: Combining Kafka and AI Guardrails? This article explores the intersection of AI and Kafka, emphasizing the necessity of AI guardrails to mitigate risks like data leaks and bias. It argues that effective AI relies on real-time data streaming and robust governance for optimal performance.➽ Fabric September 2024 Monthly Update: This post highlights exciting updates for FabCon Europe, including Copilot integration in Dataflows Gen2 and Power BI, enhanced Git functionality, a redesigned Real-Time hub, and new features in Data Engineering and Data Science for improved AI data management and collaboration.⚡ Quick Wins: BI Hacks for Instant Impact➽ Integrating LLMs with Scikit-Learn Using Scikit-LLM: This post introduces the Scikit-LLM library, bridging Scikit-Learn and large language models for enhanced text classification. It details installation, backend support, and implementation of a zero-shot text classifier on a sentiment analysis dataset, showcasing improved performance.➽ Building Command Line Apps in Python with Click: This blog discusses the Click library for Python, which simplifies the creation of command-line applications. It covers features like easy command composition, integration with other libraries, and provides examples for building a file organizer and calculating rectangle areas.➽ AI Chatbot with Message History using LangChain and SQL: This blog provides a tutorial on enhancing LLM applications by adding message history and a user interface using LangChain. It guides readers through building a Flask chatbot, integrating local memory, and using prompt templates for better interactions.➽ Making Text Data AI-Ready. An introduction using no-code solutions: This blog explains how to make unstructured text data AI-ready for large language models (LLMs), outlining the importance of formatting, specifically using Markdown, and providing no-code tools like Jina AI and LlamaParse for efficient text processing.➽ Google Cloud Cortex Framework integrated with Oracle EBS: This blog discusses the importance of rapid data access for businesses, highlighting the integration of Oracle E-Business Suite with Google Cloud’s Cortex Framework to enhance data visibility, improve order-to-cash processes, and facilitate actionable insights.🎤 Voices of BI: Lessons from Industry Experts➽ Presenting the Microsoft Keynote, Redgate Keynote, and a community star - PASS Data Community Summit: The PASS Summit 2024 is a premier event for data professionals, featuring three keynotes from industry leaders on AI innovation with Azure Databases, practical Database DevOps solutions, and leveraging AI to enhance productivity. Attendees can explore various learning pathways and engage in valuable networking opportunities.➽ Optimize SQL LIKE Wildcard Searches: This blog addresses the inefficiencies of full wildcard searches using SQL's LIKE operator in Microsoft SQL Server. It explores optimization techniques, including binary collation and Full-Text Search, to enhance query performance and minimize execution time significantly.➽ Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service: This blog explains how to integrate Amazon DynamoDB with Amazon OpenSearch Service and Amazon Bedrock for advanced data insights and generative AI capabilities. It covers setting up zero-ETL integration, generating embeddings, and enhancing search functionalities through practical examples.➽ What is Alteryx Used For: 6 Common Use Cases. This blog introduces Alteryx, an analytics automation platform that streamlines data collection, preparation, and blending to provide actionable insights. It highlights its applications in data analytics, predictive modeling, and geospatial analysis, offering consultation services for businesses to optimize their data processes.➽ Automated Migration - Alteryx To Microsoft Fabric Conversion: This blog discusses the challenges and considerations involved in migrating workflows from Alteryx to Microsoft Fabric. It highlights differences in functionality, data integration, workflow complexity, and advanced analytics, providing insights to facilitate a successful migration process.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Design Data Warehouse with Medallion Architecture in Microsoft Fabric, Change Advisory Boards (CAB) @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🌟 Welcome to BIPro #81 – Your Weekly BI Power-Up! 🚀Here's your curated roundup of must-know insights, strategies, and tools shaping business intelligence today. Let's dive in!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!🚀 Data Trends Driving the Future✦ Python Typer in Minutes: Create quick, efficient CLIs with Python Typer.✦ Interactive Apps, Simplified: Build dynamic data science apps with Python.✦ Scaling AI for Success: Top ways to supercharge your data initiatives.✦ Optimize SQL Performance: Save costs on small SQL queries with smart parallelism.🌐 Data-Driven Transformation✦ Privacy’s Limit: Why data minimization isn’t a silver bullet for privacy.✦ Cracking AI Logic: Exploring limitations in AI’s math reasoning.✦ The ChatGPT Conundrum: Why AI adoption lags in everyday work.✦ Sampling Simplified: A visual take on oversampling vs. undersampling.✦ New Power BI Features: Highlights from the October 2024 update.⚡ Quick Wins: BI Hacks for Instant Gains✦ AI Workflows Decoded: Choose between LangGraph and LangChain.✦ BigQuery Made Easy: AI-driven data prep now live!✦ Unity’s Ad Surge: 10M operations/second, powered by Memorystore.✦ No-Code ML with SageMaker Canvas: Import data directly from BigQuery.✦ GoDaddy’s BI Success: Cutting analytics time from weeks to minutes.🎤 BI Wisdom from Industry Leaders✦ CAB Simplified: Smart strategies for Change Management.✦ Medallion Architecture: A powerful approach to data warehouse design.✦ Unlocking GraphQL API: Strengthen relationships with Microsoft Fabric.✦ AI Research with Local Data: Running the STORM system with ease.✦ Free Native Execution: Boost performance without the cost!Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights➽ Python Typer Tutorial: Build CLIs with Python in Minutes. This blog is a quick-start guide to building Command Line Interfaces (CLIs) with Python using Typer. It covers setting up Typer, creating commands, and managing inputs for tasks, time, and priorities, all through a hands-on example of a schedule tracker CLI. Perfect for beginners!➽ Building Interactive Data Science Applications with Python: This blog is a guide to building interactive data science apps in Python. It introduces libraries like Streamlit, Gradio, Dash, and Panel, showcasing each one’s strengths in adding user inputs, feedback, and multimedia features to create engaging, data-driven applications with minimal coding.➽ Limit Cost Threshold for Parallelism for Small SQL Queries: This article explores the impact of increasing SQL Server's Cost Threshold for Parallelism (CTFP) from the default setting of 5 to 35. It details CTFP's role in query parallelism, guides you through changing it, and demonstrates performance benefits for smaller queries by reducing unnecessary parallelism.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Data Minimization Does Not Guarantee Privacy: This article reviews the data minimization principle in machine learning, highlighting its focus on collecting only essential data to limit privacy risks. It discusses regulatory expectations, such as purpose limitation and data relevance, and emphasizes the gap between minimizing data and achieving privacy, noting that reduced data can still allow reconstruction and re-identification.➽ GSM-Symbolic: Analyzing LLM Limitations in Mathematical Reasoning and Potential Solutions. This article reviews the paper GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models, which critiques large language models' (LLMs) mathematical reasoning capabilities. Through the GSM-Symbolic benchmark, it highlights LLMs’ performance variability, sensitivity to minor changes, and limitations in logical reasoning. The findings advocate for synthetic datasets to improve model robustness and accuracy.➽ The AI Productivity Paradox: Why Aren’t More Workers Using ChatGPT? This article argues that the slow adoption of AI tools like ChatGPT in workplaces stems from organizational culture rather than technical complexity. It highlights the need for leadership to prioritize deep, exploratory work over short-term deliverables, allowing employees to discover AI's value in meaningful, tailored ways, rather than just sticking to basic tasks.➽ Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset. This article explains essential data preprocessing techniques, focusing on balancing datasets for machine learning models. It covers oversampling and undersampling methods like Random Oversampling, SMOTE, ADASYN, Random Undersampling, and Tomek Links, each suited to different dataset needs. Visual examples highlight how these techniques impact data, offering insights into choosing the right method for your ML project.➽ Power BI October 2024 Feature Summary: This month’s Power BI update enhances reporting with Copilot’s improved contextual features, supports visual calculations in combo charts, and introduces new visualizations like Date Picker. Microsoft Fabric Copilot replaces quick measure suggestions, supporting natural language DAX queries.⚡ Quick Wins: BI Hacks for Instant Impact➽ AI Agent Workflows: A Complete Guide on Whether to Build With LangGraph or LangChain. This article compares LangChain and LangGraph for building Agentic AI applications, focusing on their workflows and tool orchestration. LangChain offers simpler chain-based structures and built-in memory, ideal for straightforward cases. In contrast, LangGraph supports complex, conditional workflows with graph-based flexibility, ideal for intricate logic and control.➽ Introducing AI-driven BigQuery data preparation: BigQuery’s new data preparation tool, powered by Gemini AI, automates data cleaning, transformation, and pipeline orchestration, reducing time spent on data prep by suggesting intelligent transformations. With a low-code, visual interface, it empowers users to improve data quality for advanced analytics seamlessly across Google Cloud’s ecosystem.➽ Unity Ads powers up to 10M operations per second with Memorystore: Unity Ads manages over 1 million Redis operations per second, leveraging Google Cloud’s Memorystore for Redis Cluster for scalable, low-latency performance. This transition from DIY Redis setups to Memorystore improved stability, eliminated downtime during scaling, and reduced infrastructure management overhead, streamlining operations under demanding ad workloads.➽ Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas: This article presents a solution to integrate data from Google Cloud's BigQuery into Amazon SageMaker Canvas using AWS Athena Federated Query, enabling no-code ML model building without moving data. The approach leverages Athena’s Google BigQuery connector and AWS Secrets Manager for secure, scalable access, providing a streamlined, cross-cloud data preparation and ML workflow.➽ GoDaddy uses Amazon QuickSight and Amazon Q to compress business intelligence analytics from weeks to minutes: This blog shares how GoDaddy is using Amazon QuickSight to streamline data analytics and insights, moving from manual, dashboard-focused processes to AI-powered, self-service analytics. With QuickSight’s natural language and Generative BI capabilities, GoDaddy has empowered business analysts, improved data governance, and accelerated data-driven decision-making across the organization.🎤 Voices of BI: Lessons from Industry Experts➽ Change Advisory Boards (CAB) for Change Management: This blog explains Change Advisory Board (CAB) meetings in Change Management, highlighting their purpose in reviewing, approving, and scheduling production changes within IT environments. It also covers Emergency CAB (ECAB) meetings for urgent changes, detailing the role of stakeholders, project managers, and the importance of communication for successful implementations.➽ Design Data Warehouse with Medallion Architecture in Microsoft Fabric: This blog outlines how to design a data warehouse using the Medallion Architecture in Microsoft Fabric. By organizing data into bronze, silver, and gold layers, the approach enables efficient data processing from raw ingestion to curated insights, supporting analytics and BI needs in a structured, scalable environment.➽ Relationships with Microsoft Fabric GraphQL API: This blog discusses using Microsoft Fabric’s GraphQL API to join data across tables in a data warehouse modeled in a star schema. It explains setting up relationships between tables within the GraphQL schema, enabling users to query multiple tables together for enhanced reporting, while highlighting some limitations in querying large datasets.➽ Running the STORM AI Research System with Your Local Documents: This blog explores STORM, an LLM-driven research tool by Stanford that simulates multi-perspective conversations to tackle complex research tasks. Designed for generating Wikipedia-style articles, STORM now supports local datasets, enabling organizations to leverage internal documents, like FEMA resources, for AI-supported research.➽ Native Execution Engine available at no additional cost! This blog introduces the Native Execution Engine, now available at no extra cost, enhancing performance in Microsoft Fabric’s Data Engineering and Data Science workflows. With easy activation and full Apache Spark API compatibility, it boosts efficiency for complex workloads like Parquet and Delta transformations, offering significant speed improvements.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

AI tools, data agents, Copilots, and Python tips, real wins in modern BI and dev workflowsAembit: Smarter Access for Apps and AI AgentsLaunching at RSA Conference: Aembit is introducing its Identity Federation Hub, a breakthrough for securing non-human identities (NHIs) like apps, AI agents, and service accounts, without using long-lived secrets.Instead of spreading static credentials across clouds, Aembit acts as a short token service that brokers identity-based access across AWS, Azure, GCP, and SaaS platforms. Think of it as "MFA for machines", dynamic, posture-aware access with no code changes for developers.✅ No secret sprawl✅ No custom auth logic✅ Just-in-time, cross-cloud access controlWith support from Snowflake and others, Aembit is redefining what it means to enforce Zero Trust at scale for workloads. Learn how they’re making identity-first access practical in today’s multi-cloud, AI-driven world.Learn more about AembitSponsoredSubscribe | Submit a tip | Advertise with usWelcome to this edition of BIPro #99, where we bring together the most practical breakthroughs and real-world strategies shaping the future of analytics, databases, and AI-powered data workflows.This issue is packed with insights that help you go beyond charts and dashboards, from streamlining Jira project reporting with generative BI in Amazon QuickSight, to debugging Python smarter, and building AI agents on real-time Oracle data.Highlights include:✅ AI-assisted database troubleshooting with Cloud SQL and AlloyDB✅ Fabric Copilot turning natural language into T-SQL✅ BigQuery ML’s contribution analysis now GA for automated trend detection✅ Low-code AI in notebooks and Data Wrangler✅ Python essentials like decorators and debugging techniques you’ll actually use✅ Oracle to OneLake replication without the ETL headache✅ Data Analyst GPT to clean, cluster, and model without codeWhether you're a data engineer, analyst, or architect, this roundup helps you stay sharp and ship smarter in the AI-driven data era.Let’s dive in.CheersMerlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights📌 Unlock data insights from custom Jira projects using generative BI in Amazon QuickSight: Extract insights, streamline reporting, and visualize Jira data with Amazon QuickSight’s generative BI. This blog shows how to integrate AWS services to automate the flow from Jira to dashboards, making it easier to analyze custom fields, track project progress, and empower teams with real-time, actionable project management data.📌 Inside AI assisted troubleshooting for databases: Troubleshoot smarter, optimize faster, and manage databases with confidence using AI-assisted tools in Cloud SQL and AlloyDB. This blog shows how generative AI simplifies root-cause analysis, predicts query issues, and delivers clear recommendations, empowering developers to maintain performance without deep database expertise, and accelerating development in modern DevOps environments.📌 BigQuery ML contribution analysis models now GA: Pinpoint drivers, uncover trends, and act on insights with BigQuery ML’s contribution analysis. This blog explores how to automate multidimensional analysis at scale, helping you identify what’s influencing key metrics like sales drops or user behavior. With new features, it's faster and easier to surface impactful patterns across complex datasets.📈 Dive into Databases: SQL Essentials📌 Query vs. Mutation in API for GraphQL – Understanding the difference: Build smarter APIs, fetch data efficiently, and update systems with precision using API for GraphQL in Microsoft Fabric. This blog breaks down the difference between queries and mutations, shows how to enable or disable them dynamically, and explains how GraphQL simplifies interaction with various Fabric-supported data sources for modern development.📌 Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview): Evaluate agents, test accuracy, and improve responses using the new Fabric SDK preview for Data Agents. This blog walks through running structured evaluations from notebooks or pipelines, letting you define ground truth, apply custom prompts, and view performance metrics. Perfect for fine-tuning and validating Data Agents before production deployment.📌 Announcing Copilot for SQL Analytics Endpoint in Microsoft Fabric (Preview): Query data, explore insights, and generate SQL instantly with Copilot for SQL Analytics Endpoint in Microsoft Fabric. This AI-powered assistant converts natural language into optimized T-SQL across Lakehouses, Warehouses, and mirrored databases, streamlining complex queries and accelerating analytics. Now in preview, it brings speed, clarity, and confidence to everyday data work.🔄 Real-World Transformation: How Gen BI Made Data Work📌 Fabric April 2025 Feature Summary: Explore new AI tools, streamline migrations, and enhance performance with Microsoft Fabric’s April 2025 updates. Highlights include low-code AI in notebooks, session-scoped temp tables, a built-in migration assistant for Data Warehouse, and Copilot access on all paid SKUs, empowering users across roles to move faster, work smarter, and deliver more value.📌 Custom Python Decorator Patterns Worth Copy-Pasting Forever: Boost performance, debug smarter, and write cleaner Python with these five powerful decorator patterns. This blog walks through memoization, logging, timing, and retry logic, with real examples and code snippets. Whether you're optimizing workflows or simplifying diagnostics, these reusable patterns can streamline how you write and manage Python functions.📌 7 Python Debugging Techniques Every Beginner Should Know: Debug faster, fix smarter, and code with confidence using these 7 beginner-friendly Python debugging techniques. From smarter print statements to using assertions and reading stack traces effectively, this blog shares practical tips to help you catch bugs early, understand common pitfalls, and improve your problem-solving instincts as a Python developer.⚡ Quick Wins: BI Hacks for Instant Impact📌 Accelerate AI on Oracle Databases with Open Mirroring, Fabric Data Agent, and Azure AI Foundry: Replicate Oracle data, build data agents, and power AI insights with Microsoft Fabric and Azure AI Foundry. This blog shows how Open Mirroring and Oracle GoldenGate integration streamline real-time data flow into OneLake, enabling AI-driven analytics with Fabric’s data agents and Azure AI agents, without heavy ETL or complex SQL.📌 Data Analyst AI tool: Clean datasets, explore trends, and build models using the Data Analyst GPT in ChatGPT. This blog walks through hands-on steps, from loading and cleaning Titanic data to generating visualizations, clustering, and logistic regression, all without writing code. Perfect for analysts looking to speed up insights with AI-driven workflows.📌 Temporary Tables in a Microsoft Fabric Warehouse: Explore limitations, troubleshoot performance, and rethink temporary tables in Microsoft Fabric Warehouse. This blog highlights gaps in Fabric’s temp table support compared to SQL Server, walks through a demo with alternative techniques, and offers practical workarounds to handle intermediate result sets efficiently in today’s distributed Fabric environment.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Real-Time Data with Amazon Kinesis, Cloud Storage Data Discovery with Dataplex, Smoothing Data Spike @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }The top ten nastiest vulnerabilities of Q3Are you exposed? Download the Q3 2024 Vulnerability Watch report to find out. The usual vulns from Microsoft and VMware make the list, but there are some surprises too. Chances are at least one of these vulnerabilities is lurking in your environment.The report outlines exposure risk specifications and offers practical mitigation actions for each CVE included to reduce your cyber risk. Download the report and stay one step ahead of the most-critical exposure risk.Download Now!Sponsored🗞️Welcome to BIPro #83 – Your Weekly Business Intelligence Kickstart! 🚀Get ready to dive into this week's most exciting BI trends, strategies, and tips to drive your data-forward success!📊 Visualize the Future: Trends and Tips◘ Keep It Clean, Keep It Fast: How index management can boost your database speed.◘ PostgreSQL + Docker, Simplified: A step-by-step setup guide.◘ Embedding Azure Logic Apps: Power up your metadata-driven data platforms.◘ What’s Lurking in Your Dev Database? Hint: Production data.◘ NL2SQL with BigQuery and Gemini: Enhancing SQL with natural language.◘ Copilot in Power BI Mobile: New features (Preview).🔄 Transformations in Action: Real-World Success◘ Streaming with Apache Kafka & Zookeeper: Building a robust data flow.◘ Microsoft Fabric + GraphQL: CRUD operations made easy.◘ New DBA Checklist: Getting up to speed with SQL Server.◘ Data Quality Visualization: Power BI tips for data profiling.◘ Cloud Storage Data Discovery with Dataplex: Effortless cataloging.◘ Upsert & Overwrite Made Easy: Streamlining data ingestion.⚡ Quick Wins: Hacks for Instant BI Impact◘ MySQL Admin Tasks on Azure: Essentials for flexible servers.◘ Marketing Models in Python: Tips to calibrate your approach.◘ AdaBoost Classifier: Get to know this popular model.◘ 4 Pillars of a Data Career: What to focus on for growth.◘ Real-Time Data with Amazon Kinesis: Delivering to OpenSearch.◘ SQL to Fabric Migration: Simple steps for a smooth transition.🎤 Voices of BI: Insights from Industry Pros◘ Boosting Performance in PySpark: Optimization techniques.◘ Smoothing Data Spikes in Python: A guide for Raman spectra.◘ Customer Journeys with Deep Learning: Optimizing experiences.◘ Least Squares Regression Explained: The basics and beyond.◘ Big Data Migration by Delhivery: Moving 500TB with Amazon S3.Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ A Tidy Database is a Fast Database: Why Index Management Matters: This blog explores common indexing issues in SQL databases that can degrade performance and increase costs. It covers overlooked, duplicate, fragmented, and missing indexes, offering strategies for effective indexing to optimize database efficiency.⫸ Step by step guide to setup PostgreSQL on Docker: This blog offers a step-by-step guide to installing PostgreSQL on a Mac using Docker, covering prerequisites, setup, volume creation, and container management to simplify PostgreSQL learning and development without overloading system resources.⫸ How To Embed Your Azure Logic Apps in a Metadata-driven Data Platform: This article explains how to streamline Azure Logic Apps for bulk data extraction from multiple SharePoint Lists into Azure SQL, using a metadata-driven framework for efficient, parameterized workflows, minimizing repetitive tasks and enhancing productivity.⫸ What's In Your Development Database? The Answer: Production Data. This article discusses how many development teams still use unmasked production data, revealing privacy concerns and challenges. It examines synthetic data and data-sanitization tools, highlighting their trade-offs in creating realistic data distributions, as well as ongoing issues with data masking and management.⫸ NL2SQL with BigQuery and Gemini: This blog explores Natural Language to SQL (NL2SQL), a technology enabling non-technical users to query databases using plain language. It covers NL2SQL’s transformative potential in democratizing data access, real-world challenges in data quality, and best practices for implementing NL2SQL solutions on Google Cloud.⫸ Introducing Copilot in Power BI Mobile Apps (Preview): This blog introduces you to Copilot in Power BI Mobile apps, an AI-powered feature designed to give you instant report summaries and insights. With Copilot, you can quickly access essential data, make informed decisions, and explore interactive visuals effortlessly.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Build a Streaming Data Architecture with Apache Kafka and Zookeeper: This article addresses the challenge of capturing and migrating massive real-time data efficiently, showcasing a project-based approach using Apache Kafka and Zookeeper. It provides step-by-step guidance for streaming data from producers to Kafka, with consumer scripts sending data to Elasticsearch and Azure Data Lake Gen 2 for analysis.⫸ CRUD Operations in Microsoft Fabric using GraphQL API Mutations: This article explores using Microsoft Fabric’s GraphQL API to not only query but also modify data through mutations, enabling CRUD operations within a Fabric warehouse. It provides a sample table setup, demonstrates creating a GraphQL API, and explains using mutations for data updates.⫸ Preparing a New DBA to Take Over a SQL Server Environment: This article details a DBA’s process for transitioning their SQL Server management role before retirement. It covers documenting key server information, maintenance jobs, and platform-specific notes, as well as conducting a thorough handover with a new DBA through collaborative review sessions, Q&A meetings, and practical issue-handling experiences. Key takeaways emphasize focused knowledge transfer, effective documentation, and sticking to core responsibilities.⫸ Power BI to Visualize and Profile Data for Data Quality: This blog guides readers on using Power BI to visualize SQL Server data profiling results, addressing common data quality issues and enhancing data analysis by making profiling outputs more accessible and interpretable.⫸ Dataplex discovers and catalogs Cloud Storage data: This article introduces Google Cloud’s Dataplex feature for automatic discovery and cataloging of Cloud Storage data. It highlights how Dataplex scans, classifies, and integrates data into BigQuery for enhanced visibility, reduced manual effort, and accelerated AI and analytics workflows.⫸ Simplifying Data Ingestion with Copy Job: Upsert to SQL Database & Overwrite to Fabric Lakehouse: This article introduces Microsoft Fabric's Copy Job, a tool simplifying data ingestion across sources and destinations with customizable options for data movement. It supports incremental upserts for SQL databases and overwrite capabilities for Fabric Lakehouse tables, enabling flexible data syncing.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Azure Database for MySQL Flexible Server Administrative Tasks: This article covers essential backup operations for Azure Database for MySQL flexible servers, explaining automated and on-demand backups, retention settings, encryption, and recovery options to support business continuity and data protection.⫸ Calibrating Marketing Mix Models In Python: This series on marketing mix modeling (MMM) guides readers in mastering MMM with a focus on model training, validation, calibration, and budget optimization using Python’s pymc-marketing package, helping refine marketing strategies and improve ROI.⫸ AdaBoost Classifier: This article introduces AdaBoost, an adaptive machine learning algorithm that iteratively builds simple decision trees, focusing on correcting previous misclassifications. Using the classic golf dataset, it demonstrates how AdaBoost combines weak learners into a powerful classifier for improved accuracy.⫸ The Four Pillars of a Data Career: If you’re an aspiring data professional, this article guides you through four essential skills: Excel for data manipulation, SQL for querying, visualization tools like Tableau or Power BI for insights, and Python or R for scripting—crucial for landing that first analyst role.⫸ Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion: This article shows you how to use Amazon Kinesis Data Streams to buffer and aggregate real-time data for Amazon OpenSearch Service. It highlights ways to centralize log aggregation for compliance, scalability, and resilience, streamlining real-time analytics with minimal effort.⫸ SQL to Microsoft Fabric Migration: Beginner-Friendly Strategies for a Smooth Transition. This post covers strategies for integrating SQL Server with Microsoft Fabric to enable seamless analytics and reporting in Power BI. It explores migration techniques, such as Notebooks, Pipelines, and Copy Assistant, for flexible, scalable data movement and incremental updates.🎤 Voices of BI: Lessons from Industry Experts⫸ Optimizing the Data Processing Performance in PySpark: This article explores optimizing PySpark performance on Databricks for large-scale data processing, using a retail transaction dataset as a case study. It highlights common bottlenecks and provides strategies for efficient data handling, feature engineering, and workflow tuning.⫸ Removing Spikes from Raman Spectra with Python: A Step-by-Step Guide. This tutorial offers a Python-based approach for removing cosmic ray-induced spikes from Raman spectra, focusing on key steps like peak finding, spike detection, and spectrum correction to improve data accuracy for spectral analysis.⫸ Data-Driven Journey Optimization: Using Deep Learning to Design Customer Journeys: This post explores combining deep learning and optimization to design high-converting customer journeys. Using LSTM models for predictive journey analysis and beam search for sequence optimization, it addresses limitations in traditional marketing attribution by accounting for touchpoint order, timing, and contextual factors.⫸ Least Squares Regression: This article introduces linear regression fundamentals, focusing on Ordinary Least Squares (OLS) and Ridge regression. It explains how Ridge regression improves model stability by addressing feature sensitivity, illustrated through a sample dataset predicting golfer attendance based on weather conditions.⫸ How Delhivery migrated 500 TB of data across AWS Regions using Amazon S3 Replication: This post walks you through how Delhivery, a leading logistics provider in India, successfully migrated over 500 TB of data to meet Indian data residency laws using Amazon S3 Replication and S3 Batch Operations. You’ll discover their strategies, challenges, and approaches, including near real-time replication to keep data synchronized across AWS Regions while ensuring uninterrupted service for their systems.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Introducing A Market-Changing Approach to Mobile App Protection by GuardsquareMobile applications face constant, evolving threats; to address these challenges, Guardsquare is proud to announce the launch of our innovative guided configuration approach to mobile app protection. By combining the highest level of protection with unparalleled ease of use, we empower developers and security professionals to secure their applications against even the most sophisticated threats. 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Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Generative AI-Powered Assistant for Developers: Unlock the full potential of Amazon Q Developer with this comprehensive guide. Learn to auto-generate code across multiple languages, enhance productivity, and streamline workflows with generative AI. Includes real-world examples with AWS integration tips. Start your free trial for access, renewing at $19.99/month.eBook $15.99 $31.99Print + eBook $27.98 $39.99➽ Python Feature Engineering Cookbook - Third Edition: Streamline your machine learning workflows with this comprehensive guide to feature engineering. Learn to craft powerful features from tabular, transactional, and time-series data, develop reproducible pipelines, and optimize transformations to save time. Includes real-world examples for practical application. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99Eager for more insights? Add these powerful resources to your reading list.➽ Bayesian Analysis with Python - Third Edition: Gain hands-on expertise in Bayesian modeling with PyMC, Bambi, and ArviZ. Explore hierarchical models, regression, and BART while applying best practices through practical exercises. Perfect for mastering real-world data science challenges. Includes a free PDF with book purchase.➽ Multiphysics Modeling Using COMSOL 5 and MATLAB: Master COMSOL and MATLAB integration with this comprehensive guide. Learn to set up and solve multiphysics models, from 0D to 3D, through practical examples. Advanced techniques like bioheat and Perfectly Matched Layer models are included, enhancing real-world engineering applications.➽ Python 3 Data Visualization Using ChatGPT / GPT-4: Master Python programming and data visualization with this comprehensive guide. 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Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer, AWS Supply Chain Analytics @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🗞️ Welcome to BIPro #82 – Your Weekly Business Intelligence Boost! 🚀Get ready to supercharge your data-driven journey with this week’s hottest trends, strategies, and insights in the world of business intelligence!📊 Future-Ready Data Visualizations◘ Generative AI: The New Rocket Fuel for Data - Discover how generative AI is transforming data into a powerhouse of insights!◘ Foundations 2024: Boosting Your Data Agility - Get a sneak peek at the BI & Reporting track that will elevate your data game!◘ Mastering SQL Wildcard Searches - Unlock the secrets to optimizing your SQL LIKE queries for better results!◘ NewSQL Systems: Consistency Meets Concurrency - Explore the future of database management with cutting-edge NewSQL solutions.◘ Synthetic Data Simplified with Gretel and BigQuery - Learn how to generate synthetic data seamlessly for robust analytics.🔄 Transformative Insights: Real-World Success Stories◘ Virtualizing AWS Data with Fabric Shortcuts - Streamline your data processes and enhance accessibility with innovative solutions.◘ Timescale & PostgreSQL: Entering the GenAI Era - Unveil the power of pgai Vectorizer in modern data applications.◘ GenAI on Amazon Bedrock: Classifying Jira Tickets - Simplify your project management with intelligent classification techniques.◘ Multimodal AI Search: Revolutionizing Business Applications - Discover how multimodal AI can elevate your search capabilities.◘ October 2024 Google Cloud Database Update - Stay ahead with the latest advancements from Google Cloud.⚡ Quick Wins: BI Hacks for Immediate Impact◘ Demystifying Azure Storage Network Access - Simplify your understanding of Azure storage with practical tips.◘ AI Agents: A New Paradigm in Computer Interaction - Explore the changing landscape of user interaction with AI technologies.◘ Preventing Data Leakage in Preprocessing - Safeguard your data with effective preprocessing strategies.◘ Fabric's October 2024 Monthly Update - Catch up on the latest enhancements and features from Fabric.◘ Empowering Your Data Warehouse with AI Copilot - Discover how AI can streamline your data warehousing efforts.🎤 Voices of BI: Expert Insights◘ Unlocking Supply Chain Data with AWS Analytics - Harness actionable insights to optimize your supply chain performance.◘ Governance Meets AI: Streamlining Analytics - Learn how to integrate Tableau with Amazon DataZone for enhanced analytics.◘ Expanding Data Visualization Options - Amazon DataZone now supports Tableau, Power BI, and more—explore your options!◘ Gaining Insights with AWS DataSync - Utilize AWS Glue, Amazon Athena, and QuickSight for smarter reporting.◘ Data Cleaning Made Easy with Alteryx - Discover the comprehensive tools that transform your data preparation workflows.◘ Maximizing Alteryx Potential - Learn how effective enablement can revolutionize your analytics processes.Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸If Data is the New Oil, then Generative AI is the New Rocket Fuel: This blog explores the analogy that while data is likened to oil, generative AI (GAI) acts as its rocket fuel, enhancing data's value. It discusses GAI’s transformative impact on industries, accelerating innovation, boosting productivity, and personalizing experiences while addressing ethical considerations.⫸Accelerate Your Data Agility at Foundations 2024: A Sneak Peek of the BI & Reporting Track. This blog highlights the challenges businesses face in meeting data demands for analytics and decision-making. It introduces Foundations 2024, featuring a dedicated Business Intelligence & Reporting track aimed at enhancing data access. Sessions from industry experts will showcase real-time analytics, empowering organizations, and streamlining financial reporting. ⫸Optimize SQL LIKE Wildcard Searches: This blog explores optimizing SQL LIKE wildcard searches in Microsoft SQL Server. It demonstrates using binary collation and the LOWER() function to significantly enhance performance, reducing query execution time from 17 seconds to 2 seconds.⫸Consistency and Concurrency in NewSQL Database Systems: This blog discusses the emergence of NewSQL databases, designed to efficiently handle large data volumes and transactions while maintaining the reliability of traditional SQL. It highlights their scalability, adherence to ACID properties, and challenges related to consistency in distributed systems.⫸Synthetic data generation with Gretel and BigQuery DataFrames: This blog guides readers through integrating Gretel with BigQuery DataFrames to generate synthetic data while ensuring privacy compliance. It details the installation process, de-identification of patient records, and synthetic data generation, emphasizing the importance of data quality and privacy in AI/ML innovation.🔄 Real-World Transformation: How Gen BI Made Data Work⫸Virtualizing AWS data by using Fabric Shortcuts: Data Engineering with Fabric. This blog discusses the integration of AWS S3 buckets with Microsoft Fabric to create a virtualized data lake, addressing challenges in data management caused by mergers and acquisitions. It explains how to utilize Microsoft Fabric shortcuts for efficient data linking, detailing the process of setting up an AWS trial account and managing data access. The goal is to empower big data engineers to effectively leverage AWS as a source within their Microsoft Fabric Lakehouse design.⫸Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer: This blog announces Timescale's launch of pgai Vectorizer, an open-source tool that integrates AI capabilities into PostgreSQL. It enables developers to create advanced AI applications without external tools, reducing infrastructure costs by 75% while streamlining workflows and enhancing efficiency.⫸Classify Jira Tickets with GenAI On Amazon Bedrock: This blog explores setting up a Jira ticket classification system using large language models on Amazon Bedrock, highlighting the advantages of generative AI over traditional machine learning methods. It simplifies text classification, reducing the need for extensive labeled data and complex ML pipelines. The post details the architecture and implementation steps, enabling organizations to gain better insights into team activities for improved resource allocation and decision-making.⫸Multimodal AI Search for Business Applications: This blog discusses the importance of semantic search for multimodal business documents that contain text and visual content. It explores how embedding models can enhance search capabilities, improving information retrieval and decision-making within organizations.⫸Google Cloud database news for October 2024: This blog summarizes October's key updates in Google Cloud databases, highlighting new features in Database Center, ScaNN index for AlloyDB, Firebase Data Connect, and support for PostgreSQL 17 in Cloud SQL, enhancing data management and application development.⚡ Quick Wins: BI Hacks for Instant Impact⫸Demystifying Azure Storage Account Network Access: This blog examines the significance of storage accounts in enterprise data lakes, focusing on network access control for sensitive data. It details service and private endpoints, emphasizing security measures for data science and machine learning operations.⫸Computer Use and AI Agents: A New Paradigm for Screen Interaction. This blog analyzes recent developments in AI agents from Anthropic, Microsoft, and Apple, highlighting the shift from text-based to multimodal agents. It discusses the capabilities, challenges, and risks associated with advanced AI agents like Anthropic’s Claude 3.5 Sonnet.⫸Data Leakage in Preprocessing: This blog addresses the issue of data leakage in machine learning, explaining how it occurs when test data unintentionally influences training data during preprocessing. It focuses on common steps like missing value imputation, illustrating how improper methods can lead to misleading model performance.⫸Fabric October 2024 Monthly Update: This blog provides the October 2024 update for Microsoft Fabric, highlighting new features such as GraphQL support, enhanced sorting and filtering capabilities, and a new certification for data engineers. It also promotes free exam vouchers and an AI learning hackathon.⫸Data Warehouse: Copilot & AI Skill: This blog discusses how AI is revolutionizing data warehousing through Microsoft Fabric's tools: Copilot for Data Warehouse and AI Skill. It outlines their functionalities, differences, and complementary uses to enhance productivity and simplify data access for users.🎤 Voices of BI: Lessons from Industry Experts⫸Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics: This blog announces the general availability of AWS Supply Chain Analytics, integrated with Amazon QuickSight, enabling users to create custom dashboards and reports from AWS Supply Chain data. It highlights features like prebuilt dashboards for demand analysis and seasonality trends.⫸Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone: This blog introduces Amazon DataZone's enhanced data analysis and visualization capabilities through the Amazon Athena JDBC driver. It emphasizes seamless integration with popular BI tools like Tableau, allowing users to query and visualize governed data efficiently, thereby improving data accessibility and governance across platforms.⫸Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more. This blog introduces Amazon DataZone's JDBC driver integration, enabling seamless querying of governed data through popular BI tools like Tableau and Power BI, enhancing data access and governance while empowering teams to analyze data efficiently.⫸Derive insights from AWS DataSync task reports using AWS Glue, Amazon Athena, and Amazon QuickSight: This blog introduces AWS DataSync's task reports feature, which provides detailed transfer reports for data migrations. It outlines how to use AWS Glue, Amazon Athena, and Amazon QuickSight to catalog, query, and visualize task report data for effective tracking and auditing.⫸How to Data Cleaning with Alteryx - A Comprehensive Data Preparation Platform: This blog emphasizes the importance of data cleaning for accurate analysis and decision-making. It introduces Alteryx as a powerful tool for data preparation, detailing its features, functionalities, and best practices to effectively cleanse and prepare data.⫸Unlocking the Potential of Alteryx: How Proper Enablement Can Transform Your Analytics Workflow. This blog discusses the importance of proper enablement for using Alteryx effectively, detailing how training and resources can enhance analytics workflows. It offers tips for creating an enablement program and highlights the benefits of investing in data-driven decision-making.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Notion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place. We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:1. Submit an application using our custom link: https://ntn.so/packt and select Packt on the partner list.2. 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Start your free trial for access, renewing at $19.99/month.eBook $21.99 $31.99Print + eBook $27.98 $39.99➽ Principles of Data Science - Third Edition: This book is perfect for dataprofessionals who want to make sense of big data and build machine learning models that work. It helps solve problems like cleaning messy data, creating insightful visualizations, and managing biases in models. You’ll learn practical ways to deploy ML pipelines, handle complex datasets, and tackle real-world challenges with case studies. It's a clear guide for mastering data science, from math to machine learning! Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Bayesian Analysis with Python - Third Edition: This book is all about helping you tackle data analysis using Bayesian methods. It solves the challenge of building and interpreting complex models, making it easier with step-by-step guidance using tools like PyMC and ArviZ. 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Data Governance in Data Science Pipelines, Alteryx AI & Analytics Automation for Business Success @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🦋 Welcome to BIPro #77 – Your Weekly Business Intelligence Boost! 🚀Get ready for this week’s latest BI trends, strategies, and insights to fuel your data-driven success!📊 Trending Now: The Future of Data Visualization✦ Harness the Power of Dataflow: 5 solution guides for common Dataflow use cases.✦ Master Data Governance: Simplify governance with AWS Lake Formation & IAM Identity Center.✦ Data Science Best Practices: Implement governance techniques in your data pipelines.✦ Alteryx for All: How Alteryx makes data analytics accessible to everyone.🔄 Real-World Transformations: Data in Action✦ BigQuery Gets Smarter: Vector search goes GA – here’s what it means for you.✦ TimeGPT Takes the Lead: Forecast stock markets with cutting-edge TimeGPT.✦ Inside Transformers: Visualize model internals with Hugging Face.✦ Marketing Mastery: Python-powered Marketing Mix Modeling.⚡ BI Hacks for Instant Wins✦ Gemini in Looker: Supercharge LookML & visualizations with AI assistance.✦ Google Workspace Insights: The Analytics Block now in Looker Marketplace.✦ AI Chatbots Made Easy: Build one with message history using LangChain & SQL.✦ Marketing Automation: 4 ways marketing leaders succeed with Alteryx AI.🎤 Expert Insights: Voices of BI Leaders✦ Generative AI Power: Fuel your data with AI for game-changing insights.✦ Azure Data Studio Tips: Master the Import Extension for streamlined data workflows.✦ Code Upgrade: Convert old running total code to efficient window functions.Enjoy your BI power-up this week! 🎉Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Polars Cookbook: Unlock faster, more efficient data analysis with Python Polars through step-by-step recipes. Master data manipulation, advanced querying, and performance optimization. Learn to handle large datasets, perform complex transformations, and integrate Polars with other tools. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ 15 Math Concepts Every Data Scientist Should Know: Master key data science algorithms through Python-based examples, boosting your solutions by applying and creating algorithms. Learn foundational and advanced mathematical techniques for solving real-world data challenges, with practical Python applications. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99📊 Data Viz Trends Shaping the Future of Insights➽ Five solution guides for common Dataflow use cases: This article introduces Dataflow solution architectures for real-time data processing, offering practical guides for use cases like machine learning, ETL, log replication, marketing intelligence, and clickstream analytics, highlighting Dataflow's scalability, flexibility, and AI integration capabilities.➽ Apply enterprise data governance and management using AWS Lake Formation and AWS IAM Identity Center: This article discusses a solution using AWS Lake Formation and IAM Identity Center to address challenges in managing and governing legacy data during digital transformation. It outlines strategies for preserving historical data, enforcing compliance, and maintaining secure, role-based access, enabling seamless transitions without altering existing user entitlements.➽ Implementing Data Governance in Data Science Pipelines: Techniques and Best Practices. This article explores key techniques and best practices for implementing data governance in data science pipelines. It emphasizes data quality, regulatory compliance, and risk management while outlining processes like role definition, metadata management, quality assurance, and auditing to ensure secure, efficient, and traceable data usage.➽ How Alteryx Makes Data Analytics Accessible to Everyone? This blog highlights how Alteryx simplifies data analytics by making it accessible to users of all skill levels. It explains Alteryx's key features, including drag-and-drop workflows, automated data preparation, and advanced analytics tools, enabling non-technical users to efficiently analyze data and make data-driven decisions across various industries.🔄 Real-World Transformation: How Gen BI Made Data Work➽ BigQuery vector search is now GA: This article announces the general availability of BigQuery vector search, enabling vector similarity search on data stored in BigQuery. It enhances data analytics by using AI models to encode semantic meaning as vector embeddings, empowering applications like semantic search, anomaly detection, and drug discovery with improved scalability and performance.➽ Stock Market Forecasting with TimeGPT: This article introduces TimeGPT, a Transformer-based model designed for time series forecasting. It explains how to use TimeGPT via the Nixtla API for both simple and advanced forecasting techniques, including stock market predictions, with minimal code and high performance.➽ How to Visualize Model Internals and Attention in Hugging Face Transformers? This tutorial explains how to visualize the internal workings and attention mechanisms of Hugging Face Transformer models. It demonstrates techniques such as gradient-based visualization, attention heatmaps, and hidden state analysis to help users better understand model predictions and attention distribution in sentences.➽ Mastering Marketing Mix Modelling In Python: This series provides a hands-on guide to mastering Marketing Mix Modeling (MMM) using the pymc-marketing Python package. It covers key topics such as model training, validation, Bayesian priors, and budget optimization, offering practical tools to enhance marketing strategies through Bayesian MMM.⚡ Quick Wins: BI Hacks for Instant Impact➽ Gemini in Looker LookML Assistant and Visualization Assistant: This article introduces two new AI-driven features in Looker, LookML Assistant and Visualization Assistant, powered by Google’s Gemini. These tools simplify creating and customizing data models and visualizations using natural language, accelerating business intelligence workflows. They enhance collaboration and decision-making by making data insights more accessible and customizable across organizations.➽ Bringing Google Workspace Analytics Block to Looker Marketplace: The Google Workspace Analytics Block in Looker Marketplace offers pre-built metrics for Workspace administrators to track adoption, collaboration, and security. It enables customized dashboards, automated reporting, and integrates with existing workflows, empowering IT admins and business leaders to make data-driven decisions and enhance productivity.➽ AI Chatbot with Message History using LangChain and SQL: This article provides a guide for adding message history and a user interface (UI) to an LLM-based application. It explains how to use LangChain, Flask, and SQLite to create a chatbot with message history, leveraging prompt templates and the RunnableWithMessageHistory class for managing conversations in a deployable AI application.➽ Top 4 Ways on How Marketing Leaders Use Alteryx AI & Analytics Automation for Business Success: This blog explores four ways marketing leaders use Alteryx AI and analytics automation to streamline data management, enhance campaigns, optimize resources, and achieve immediate results. It highlights how Alteryx helps centralize data, predict trends, automate tasks, and integrate future-ready solutions.🎤 Voices of BI: Lessons from Industry Experts➽ Fuel Your Data with Generative AI: This article highlights how generative AI can enhance data management, focusing on three use cases: automating data integration (ETL), enabling conversational business intelligence, and generating synthetic data for testing and innovation. It emphasizes AI’s role in unlocking data’s potential, improving accessibility, and accelerating insights across organizations.➽ Diving Deeper into the Import Extension in Azure Data Studio: This article explores using the Import extension in Azure Data Studio (ADS) to handle complex imports, including derived columns, number manipulations, and data masking. The author demonstrates how to create derived columns, apply transformations, and experiment with importing data from various sources, highlighting successes and challenges with calculations and data formatting during the import process.➽ Converting Old Running Total Code to Window Functions: This article explores optimizing a running total calculation of the previous five rows using SQL Server's window functions. It compares the original solution, which used cross joins and left joins, to a more efficient approach with the SUM function and an OVER clause. The article also demonstrates testing and refactoring processes, highlighting the use of window functions for improved performance.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

How Generative AI and Governance Help Scale Enterprise Analytics, Automating BI @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🦋 Welcome to BIPro #80 – Your Weekly Business Intelligence Boost! 🚀Discover this week’s top BI trends, strategies, and insights to elevate your data-driven success!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!📊 Future-Ready Insights: Data Viz Trends✦ Handling Missing Data in R✦ Data Lakes: Zones and Containers Planning✦ Optimize Spark Compute in Microsoft Fabric✦ Explore Pandas in Python🔄 Transformative Insights: Data in Action✦ Actionable Data Insights for Decision-Making✦ Web Scraping with Python: Scrapy Framework✦ Utilizing VizQL Data Service in Tableau✦ Enhanced Tenant Delegation in Microsoft Fabric⚡ Quick Wins: BI Hacks✦ Visualize Data with Pie Charts in Matplotlib✦ Competitive Edge with AI Strategies✦ Google’s New Generative AI Learning Paths✦ Simplify SQL with Pipe Syntax in BigQuery✦ Shopify’s ML Enhancements for Search Intent🎤 Voices of BI: Expert Insights✦ Fairness in ChatGPT✦ Scaling Analytics: Generative AI and Governance✦ Automating BI: Overcoming Bottlenecks✦ Data Sharing Patterns on AWSGet ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights➽ How to Handle Missing Data in R? This blog explains handling missing data in R, covering data loading, identifying missing values with functions like is.na() and summary(), removing them using na.omit(), and applying imputation methods such as mean, KNN, and multiple imputation for accurate analysis.➽ Data Lake implementation – Data Lake Zones and Containers Planning: This blog discusses Azure Data Lake implementation, focusing on data lake zones, storage accounts, and container planning. It covers raw, enriched, and development data layers, governance, security, and the medallion architecture for effective data organization.➽ Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric: This blog offers guidance on optimizing data engineering workloads using the Medallion architecture, detailing tailored compute configurations for Bronze, Silver, and Gold layers to enhance performance, efficiency, and data accessibility across large-scale datasets.➽ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces Pandas, an open-source Python library for data manipulation and analysis. It highlights its key features, installation process, and demonstrates usage through Pandas Series and DataFrames for various data operations and arithmetic calculations.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Enabling Critical Decision-Making with Valuable Data Insights: This blog addresses the challenge of finding quality data for decision-making and introduces the Melissa Data Marketplace, offering accurate, industry-specific data products. It highlights accessibility options and use cases in real estate and healthcare for enhanced data quality.➽ Web Scraping with Python Scrapy Framework: This blog discusses the challenges of manual data collection and introduces web scraping as an efficient solution for automated data extraction. It highlights the Scrapy Python framework, emphasizing its capabilities for structured data gathering and analysis.➽ How to Use VizQL Data Service in Your Tableau Cloud Site? This blog announces the expansion of the VizQL Data Service Developer Preview to all Tableau Cloud customers, highlighting new API Access permissions for enhanced data control, and introducing a Postman Collection for easier API interaction and testing.➽ Announcing the Enhanced Tenant Setting Delegation for Export Controls in Microsoft Fabric: This highlights an enhancement to Microsoft Fabric's Tenant Setting Delegation feature, enabling granular control over data export permissions at the workspace level. It improves security, management, and flexibility for workspace administrators while reducing the burden on tenant admins.⚡ Quick Wins: BI Hacks for Instant Impact➽ Visualization of Data with Pie Charts in Matplotlib: This article explores creating four types of pie charts using a dataset from my Master's Thesis on NIH-funded heart disease research. It emphasizes effective visualization of categorical data with Matplotlib, highlighting insights into gender representation in publications.➽ Carving Out Your Competitive Advantage with AI: This blog discusses how companies can achieve a competitive advantage with AI despite the technology becoming commonplace. It emphasizes creativity in AI applications, the importance of tailored strategies, and the integration of unique datasets and domain expertise.➽ Four new Google’s Gen AI learning paths on offer: This blog addresses the skills gap in AI readiness among organizations and introduces Google Cloud's new generative AI learning paths. These courses aim to equip developers with practical skills to leverage AI effectively, enhancing productivity and career opportunities.➽ Simplify your SQL with pipe syntax in BigQuery and Cloud Logging: This blog introduces SQL pipe syntax, an innovative extension of standard SQL that enhances simplicity and flexibility. It allows for easier data analysis by enabling sequential operator application, improving readability and productivity for users.➽ How Shopify improved consumer search intent with real-time ML? This blog outlines Shopify's integration of AI-powered search capabilities into merchant storefronts, enhancing the shopping experience through Semantic Search and real-time embeddings. This system boosts sales by improving product relevance and search accuracy.🎤 Voices of BI: Lessons from Industry Experts➽ Evaluating fairness in ChatGPT: This blog discusses the careful design of training processes for language models like ChatGPT to minimize harmful outputs and biases. It explores how cues, such as users' names, can influence responses and impact first-person fairness.➽ How Generative AI and Governance Help Scale Enterprise Analytics? This blog summarizes Alteryx's announcements from recent Inspire user conferences, highlighting advancements in Generative AI, the introduction of Alteryx Marketplace, and enhancements to Alteryx Designer and Server, focusing on improved data-driven decision-making and enterprise connectivity.➽ Automating BI: Breaking Down Bottlenecks with Artificial Intelligence: This blog addresses time-to-value challenges in analytics, highlighting IDC research on data decay and underutilization. It emphasizes the need for automation and generative AI to alleviate bottlenecks in the analytics process, enhancing decision-making efficiency.➽ Demystify data sharing and collaboration patterns on AWS: Choosing the right tool for the job. This blog discusses the importance of treating data as a product to overcome challenges like data silos and governance issues. It highlights the benefits of data lakes and the data mesh framework, emphasizing the roles of various personas and AWS services like AWS Glue, AWS Data Exchange, and AWS Clean Rooms for effective data sharing and collaboration.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

The AI Value Playbook, The Definitive Guide to Power Query (M), Microsoft Power BI Cookbook @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }3 Days. 25+ AI Experts. 30+ Sessions.Join the Generative AI In Action conference from Nov 11-13 (LIVE | Virtual) and gain insights from top AI leaders across over 30 sessions. Explore key topics including GenAI tools, AI Agents, Open-Source LLMs, Small Language Models, LLM fine-tuning, and many more! This is your opportunity to dive deep into cutting-edge AI strategies and technologies.Save 40% with our Early Bird offer using code BIGSAVE40 – don’t miss out!Secure Your Seat Today!🦋 Welcome to BIPro #76 – Your Weekly Business Intelligence Power-Up! 🚀Gear up for a fresh batch of BI trends, cutting-edge strategies, and top insights to supercharge your data journey!📚 Must-Read BI Books of the Week✦ The AI Value Playbook: How to Make AI Work in the Real World✦Building LLM-Powered Apps: Level up with AI-driven applications.✦Python for Algorithmic Trading Cookbook: Unleash the power of Python in trading.✦Microsoft Power BI Cookbook (3rd Ed.): Master Power BI like a pro.✦The Definitive Guide to Power Query (M): Dominate data wrangling in Power BI.✦Mastering PyTorch (2nd Ed.): Deep dive into PyTorch for AI innovation.🎯 Handpicked Articles Just for You!✦Master Data Transformation with R & dplyr: Elevate your data manipulation game.✦Eigenvalues & Eigenvectors in NumPy: Tackle advanced math with Python.✦Import Data into BigQuery – Here’s How: Seamlessly load data like a pro.✦Visualize with ggplot2 in R: Transform raw data into stunning visuals.✦Query Microsoft Fabric GraphQL API: Easily integrate with external apps.Stay ahead of the curve with these latest insights!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ Building LLM Powered Applications: This new titleis all about helping engineers and data pros use large language models (LLMs) effectively. It tackles key challenges like embedding LLMs into real-world apps and mastering prompt engineering techniques. You’ll learn to orchestrate LLMs with LangChain and explore various models, making it easier to create intelligent systems that can handle both structured and unstructured data. It’s a great way to boost your skills, whether you’re new to AI or already experienced! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Microsoft Power BI Cookbook - Third Edition: The Power BI Cookbook is your essential guide to mastering data analysis and visualization with Power BI. It covers using Microsoft Data Fabric, managing Hybrid tables, and creating effective scorecards. Learn to transform complex data into clear visuals, implement robust models, and enhance reports with real-time data. This updated edition prepares you for future AI innovations, making it a must-have for beginners and seasoned users alike! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽ The Definitive Guide to Power Query (M): The Definitive Guide to Power Query (M) focuses on mastering data transformation with Power Query. It covers fundamental and advanced concepts through hands-on examples that address real-world problems. You'll learn the Power Query M language, optimize performance, handle errors, and implement efficient data processes. By the end, you'll have the skills to enhance your data analysis effectively! Start your free trial for access, renewing at $19.99/month.eBook $43.99Print + eBook $37.99 $54.99💡 Expert Insights from the Packt Community 🚀Introducing The AI Value Playbook: How to Make AI Work in the Real WorldBy Lisa Weaver-Lambert, Data and AI Leader in Capital Markets, formerly Microsoft, and AccentureAre you a business leader or board member intrigued by the groundbreaking advances in Generative AI (GenAI) and Large Language Models (LLMs)?If you want to quickly formulate a perspective on how to integrate AI, The AI Value Playbook by Lisa Weaver-Lambert, is a must read. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof businesses. The AI Value Playbook draws on conversations and case studies with leading practitioners across sectors and geographies who share their first-hand experiences successfully driving AI value and pathways for progress.Why is This Book a Must-Read for Business Leaders?Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. In a series of over 30 in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies share their hard-earned wisdom. They talk candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.Experts include:Sam Liang, CEO of Otter.aiAmr Awadallah, Founder and CEO at VectaraPhilipp Heltewig, Co-Founder and CEO at CognigyJoshua Rubin, Principle AI Scientist at Fiddler AIZeev Farbman, Co-Founder & CEO at Lightricks…and many more innovators who are actively shaping the AI landscape.Key Topics Covered in the PlaybookThis book provides case studies which explore the specifics of real-world applications. These present detailed analyses of practical scenarios, offering a closer look at the application and impact of AI, such as:How Generative AI Transforms Healthcare Education (LLMs & RAG enabling hyper-personalized learning for healthcare technicians)AI-Powered Virtual Agents Improving Service Efficiency (Real-world examples of AI's impact on customer service operations)Unlocking Profit with AI (Leveraging enterprise data for increased customer profitability and minimizing churn)The Role of Multimodal LLMs in Software Development (Innovations that redefine customer interaction and product creation)The last section of the book is The ‘AI Value Playbook’ a practical framework distilled from the experts and Lisa’s own professional experience, for successful AI implementation. Answers to the Big Questions for Business LeadersThe book tackles the pressing questions business leaders are facing today, such as:How can organizations adapt to the rapid pace of AI innovation?How do we strategically deploy AI to enhance efficiency and drive business value?What risks and ethical considerations should be addressed?How quickly can we start seeing measurable benefits from AI integration?What You’ll Take AwayThe AI Value Playbook distils a value-driven playbook for how AI can be put to work today, including:Fundamentals of AI concepts and the tech stackHow AI works with real-world practical applicationsHow to integrate into your company’s overall strategyHow to incorporate generative AI in your processesHow to drive value with sector-wide examplesHow to organize an AI-driven operating modelHow to use AI for competitive advantageThe dos and don’ts of AI applicationWith endorsements from Said Business School, University of Oxford, Microsoft leaders, Private Equity and Venture Capital leaders and board leaders, don't miss out on this opportunity to learn from the practical scenarios and strategic plays. The AI Value Playbook is a versatile resource and roadmap to making AI work in the real world—starting today.Get Your Copy Today and Start Driving Real AI Value!📊 Data Viz Trends Shaping the Future of Insights➽ How to Use R for Data Transformation with dplyr? This blog explores overcoming challenges in fine-tuning and deploying large language models (LLMs) using R's 'dplyr' package. It covers installation, selecting and renaming columns, and filtering rows to streamline data transformation for effective analysis in R.➽ How to Calculate Eigenvalues and Eigenvectors with NumPy? This blog explains how to calculate eigenvalues and eigenvectors using NumPy's linear algebra module. It covers the mathematical background, provides practical coding examples, and discusses the implications of eigenvalues in applications like Principal Component Analysis (PCA) for dimensionality reduction.➽ How to Import Data into BigQuery? This tutorial demonstrates how to load datasets into Google BigQuery from various sources, including CSV, JSON, Google Cloud Storage, and Google Sheets. It outlines prerequisites, interface navigation, and step-by-step procedures for each data loading method, focusing on Asian cuisine examples.➽ How to Visualize Data with ggplot2 in R? This article introduces ggplot2, an R package for creating visualizations like scatter plots, line plots, bar plots, and more. It covers installation, basic and advanced plot types, and how to save plots, helping users effectively visualize data.🔄 Real-World Transformation: How Gen BI Made Data Work➽ How to Evaluate RAG If You Don’t Have Ground Truth Data? This article discusses strategies for evaluating Retrieval-Augmented Generation (RAG) models without ground truth data. It covers retrieval and generation evaluations, including using vector similarity thresholds, multiple LLMs for response comparison, and human feedback to establish criteria for relevance, correctness, and fluency. Additionally, it outlines methods to create a ground truth dataset from scratch using existing datasets or manual curation.➽ Start Asking Data Why? This blog explores how to uncover causal relationships in observational data without relying on expensive randomized control trials. It emphasizes the importance of understanding the story behind the data, introduces causal reasoning through Simpson’s and Berkson’s Paradoxes, and advocates for using causal graphs to enhance data analysis.➽ Choosing Between LLM Agent Frameworks: This blog discusses the evolving landscape of AI agents, highlighting the shift from Retrieval-Augmented Generation (RAG) to modern frameworks for developing autonomous systems. It reviews various agent frameworks, compares their strengths and weaknesses, and provides insights on building agents from scratch, including challenges and benefits.➽ Your Documents Are Trying to Tell You What’s Relevant: Better RAG Using Links. This article addresses the challenges in building retrieval-augmented generation (RAG) applications, particularly in document retrieval. It introduces a new data model—linked documents—that enhances performance by preserving references like citations and hyperlinks, improving the ability to find relevant information. The author discusses the limitations of vector searches and emphasizes the importance of document structure and connections. By implementing document linking, the article illustrates how to effectively retrieve and utilize related documents, ultimately enriching the response quality of RAG systems.⚡ Quick Wins: BI Hacks for Instant Impact➽ Query Microsoft Fabric GraphQL API from an External App: This guide outlines how to query data from a Microsoft Fabric workspace using a C# application via the Microsoft Fabric GraphQL API. It details prerequisites, including creating a Microsoft Entra app and configuring necessary permissions for data access.➽ Building an Interactive UI for Llamaindex Workflows: This article expands on using LlamaIndex workflows to enhance research and presentations by integrating a Streamlit UI. It outlines how to create a user-friendly interface that displays progress, collects user input, and generates downloadable slide decks while detailing backend enhancements and streaming event implementations.➽ Achieve near real-time analytics on Amazon DynamoDB with SingleStore: This article outlines methods for integrating Amazon DynamoDB with SingleStore for near real-time analytics. It describes two architectural patterns: using DynamoDB Streams with AWS Lambda and leveraging Amazon Kinesis Data Streams with Amazon MSK, enabling efficient data capture and analysis.➽ How AI Platforms Are Transforming Business Data Management? The article discusses the rapid growth of the AI market, valued at $196.63 billion in 2023, projected to grow at a CAGR of 36.6% through 2030. It highlights challenges in traditional data management, with the global data management market valued at $89.34 billion in 2022. The rise of platforms like Databricks and Snowflake is emphasized, with Databricks valued at $43 billion in 2023, contributing to an anticipated data analytics market value of about $550 billion by 2028. The piece emphasizes the importance of data quality and integration of open-source and closed-source models, advocating for industry-specific AI solutions for better performance.🎤 Voices of BI: Lessons from Industry Experts➽ Introducing the OpenAI Academy: OpenAI is launching the OpenAI Academy to invest in developers and organizations in low- and middle-income countries, providing training, technical guidance, and $1 million in API credits. The initiative aims to enhance local AI talent, drive economic growth, and foster community innovation.➽ Looker Chart Config Editor tips: Google Cloud is enhancing Looker’s capabilities with new visualization options, including bullet charts and sunbursts, accessible through the Chart Config Editor. This post shares tips on using the Highcharts API to improve data visualizations, emphasizing customization and scrolling features for better user experience.➽ BigQuery jobs explorer is now GA: Google Cloud has launched BigQuery Jobs Explorer, a tool that provides comprehensive visibility into SQL query activity within organizations. It enables real-time monitoring, troubleshooting, and performance optimization, allowing users to track resource usage, identify costly queries, and improve overall efficiency.➽ Create security observability using generative AI with Security Lake and Amazon Q in QuickSight: This blog discusses a serverless solution for querying Amazon Security Lake data using natural language through Amazon QuickSight’s Amazon Q. It highlights the benefits of integrating generative AI for security use cases, improving threat response and data analysis by leveraging CloudTrail logs, VPC Flow Logs, and AWS services.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,✨ Welcome to Packt’s Signature Series: New Titles Just Arrived!📚 We’re excited to present a new collection in our Signature Series, featuring the best-selling titles in the data industry. Packed with insights on Generative AI and multimodal systems, this collection is available for a limited time at 30% off both print and e-book formats. This offer ends Sunday, September 22nd. Don’t miss your chance to upskill and elevate your career. Let’s dive in!➽ Building LLM Powered Applications: This new titleis all about helping engineers and data pros use large language models (LLMs) effectively. It tackles key challenges like embedding LLMs into real-world apps and mastering prompt engineering techniques. You’ll learn to orchestrate LLMs with LangChain and explore various models, making it easier to create intelligent systems that can handle both structured and unstructured data. It’s a great way to boost your skills, whether you’re new to AI or already experienced! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Python for Algorithmic Trading Cookbook: This bookis your go-to guide for using Python in trading. It helps you tackle key issues like acquiring and visualizing market data, designing and backtesting trading strategies, and deploying them live with APIs. You’ll learn practical techniques to gather data, analyze it, and optimize your strategies using tools like OpenBB and VectorBT. Whether you’re just starting or looking to refine your skills, this book equips you with the know-how to trade smarter with Python! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $36.99 $49.99➽ Microsoft Power BI Cookbook - Third Edition: The Power BI Cookbook is your essential guide to mastering data analysis and visualization with Power BI. It covers using Microsoft Data Fabric, managing Hybrid tables, and creating effective scorecards. Learn to transform complex data into clear visuals, implement robust models, and enhance reports with real-time data. This updated edition prepares you for future AI innovations, making it a must-have for beginners and seasoned users alike! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽ The Definitive Guide to Power Query (M): The Definitive Guide to Power Query (M) focuses on mastering data transformation with Power Query. It covers fundamental and advanced concepts through hands-on examples that address real-world problems. You'll learn the Power Query M language, optimize performance, handle errors, and implement efficient data processes. By the end, you'll have the skills to enhance your data analysis effectively! Start your free trial for access, renewing at $19.99/month.eBook $43.99Print + eBook $37.99 $54.99➽ Mastering PyTorch - Second Edition: This is your essential resource for building advanced neural network models with PyTorch. You'll explore tools like Hugging Face, fastai, and Docker, learning to create models for text, images, and music. With hands-on examples, you'll master training optimization, mobile deployment, and various network types, equipping you to tackle complex AI tasks using the PyTorch ecosystem! Start your free trial for access, renewing at $19.99/month.eBook $28.99 $41.99Print + eBook $40.99 $51.99➽ Unlocking the Secrets of Prompt Engineering: It'syour guide to mastering AI-driven writing with large language models (LLMs). It covers essential techniques and applications, from content creation to chatbots. With practical examples, you'll learn to generate product descriptions and tackle advanced uses like podcast creation. The book emphasizes ethical practices and optimization strategies, preparing you to leverage AI for improved writing, creativity, and productivity! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽ ChatGPT for Cybersecurity Cookbook: Your essential guide to using AI in cybersecurity. It helps you automate tasks like penetration testing, risk assessment, and threat detection with ChatGPT. Each recipe provides step-by-step instructions for generating commands, writing code, and creating tools with the OpenAI API and Python. You'll explore innovative strategies and optimize workflows, gaining confidence in AI-driven techniques to excel in the rapidly evolving cybersecurity landscape! Start your free trial for access, renewing at $19.99/month.eBook $27.98 $39.99Print + eBook $34.98 $49.99➽ Mastering NLP from Foundations to LLMs:Your complete guide to Natural Language Processing (NLP) with Python. It covers the mathematical foundations of machine learning and essential topics like linear algebra and statistics. You'll learn to preprocess text, classify it, and implement advanced techniques, including large language models (LLMs). With practical Python code samples and insights into future trends, you'll gain the skills to tackle real-world NLP challenges confidently and effectively design ML-NLP systems! Start your free trial for access, renewing at $19.99/month.eBook $29.99 $42.99Print + eBook $46.99 $52.99➽ Learn Microsoft Fabric: This title is your essential guide to using Microsoft Fabric for data integration and analytics. It explores key features with real-world examples, helping you build solutions for lakehouses, data warehouses, and real-time analytics. You'll learn to effectively monitor your Fabric platform and cover workloads like Data Factory and Power BI. By the end, you'll be equipped to unlock AI-driven insights and navigate the analytics landscape confidently! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $35.98 $44.99➽ Building Data-Driven Applications with LlamaIndex: This book is your comprehensive guide to leveraging Generative AI and large language models (LLMs). It addresses challenges like memory constraints and data gaps while teaching you to build interactive applications with LlamaIndex. You'll learn to ingest and index data, create optimized indexes, and query your knowledge base through hands-on projects. By the end, you'll be equipped to troubleshoot LLM issues and confidently deploy your AI-driven applications! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽ OpenAI API Cookbook: This new title is all about using the OpenAI API to create smart applications. It helps engineers and data pros understand the basics, set up their API, and build tailored tools like chatbots and virtual assistants. You’ll learn practical recipes to enhance user experience and integrate AI into your workflows, making your projects more efficient and innovative! Start your free trial for access, renewing at $19.99/month.eBook $21.99 $31.99Print + eBook $27.98 $39.99Loved Those Titles? Check These Out!➽ Data Governance Handbook➽ Generative AI for Cloud Solutions➽ Data-Centric Machine Learning with Python➽ Modern Python Cookbook - Third EditionWe’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Audit Your SQL Server Like a Pro, Avoid Bias in Marketing Mix Models, Toyota’s AWS Migration Story @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Looking to build, train, deploy, or implement Generative AI?Meet Innodata — offering high-quality solutions for developing and implementing industry-leading generative AI, including:➤ Diverse Golden Datasets➤ Supervised Fine-Tuning Data➤ Human Preference Optimization (e.g. RLHF)➤ RAG Development ➤ Model Safety, Evaluation, & Red Teaming ➤ Data Collection, Creation, & Annotation ➤ Prompt Engineering With 5,000+ in-house SMEs and expansion and localization supported across 85+ languages, Innodata drives AI initiatives for enterprises globally.Learn More!Sponsored🦋 Welcome to BIPro #79 – Your Weekly Business Intelligence Boost! 🚀Surprised to see us on a Wednesday? We’re testing the best day to deliver your weekly dose of Data Analytics & BI insights! With fresh strategies, tools, and insights, this newsletter will elevate your BI game. Ready to dive in? Let’s go!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!📊 Top Data Trends Shaping the Future✦ Master Pandas in Python: Learn how to analyze and manipulate tabular data effortlessly.✦ Audit Your SQL Server Like a Pro: Discover best practices for monitoring extended stored procedures.✦ PostgreSQL Secrets: Understand the power of VACUUM, AUTOVACUUM, and ANALYZE for efficient data management.✦ Avoid Bias in Marketing Mix Models: Learn how to ensure accurate channel estimates.✦ Dataflow Magic: Unlock insights with derived data views and consistency models.🔄 Real-World Transformations: How Leaders Make Data Work✦ Crack the LLM Code: Dive into the math behind word embeddings.✦ Measure AI Success: Key metrics to track AI adoption and impact.✦ What’s New in Tableau Cloud Manager? Discover features that simplify cloud analytics.✦ Tableau + dbt Labs: How their new partnership is transforming data workflows.✦ Power BI October 2024 Updates: Explore the latest features for better BI reporting.⚡ Quick Wins: BI Hacks for Instant Impact✦ Real-Time Analytics with BigQuery & Bigtable: Build faster data platforms with ease.✦ FastAPI for Beginners: Kickstart your API journey with this simple guide.✦ Smart Stats: 5 innovative statistical methods for small datasets.✦ Shopify’s AI Search Boost: Learn how Shopify improved customer search with real-time ML.✦ 100x Faster Queries in BigQuery: History-based optimizations for lightning-fast performance.✦ Reltio's Transformation: How they scaled data management with Spanner on Google Cloud.🎤 Voices of BI: Insights from Industry Leaders✦ Azure Savings Hack: Use Logic Apps to slash costs.✦ Meet Database Center: AI-powered fleet management for seamless operations.✦ Toyota’s AWS Migration Story: How they achieved zero downtime with Safety Connect.✦ Boost SQL Accuracy with AI: Enrich metadata for perfect text-to-SQL generation.Get ready to boost your business intelligence game! Happy reading!Notion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place.We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:1. Submit an application using our custom link:https://ntn.so/packtand selectPackton the partner list.2. Include our partner key,STARTUP4110P19151.Free 6-Month Notion Plus Access! 🚀 Use Our Packt Partner Key!SponsoredCalling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99📊 Data Viz Trends Shaping the Future of Insights➽ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces the Pandas library in Python, highlighting its importance for data manipulation, analysis, and visualization. It discusses key features such as handling various data formats, data cleansing, integration with other Python libraries, and includes practical examples like creating series and performing arithmetic operations.➽ Audit SQL Server Extended Stored Procedures Usage: This is about enhancing SQL Server security monitoring, focusing on tracking sensitive system stored procedures that can be exploited with elevated permissions. The core concepts include auditing SYSADMIN role usage, monitoring extended stored procedures, and integrating with SIEM solutions for threat detection and forensic analysis.➽ PostgreSQL VACUUM, AUTOVACUUM, and ANALYZE Processes for Deleted Data: This blog is about how PostgreSQL manages deletes and concurrency using Multi-Version Concurrency Control (MVCC). It explores key concepts like the VACUUM and AUTOVACUUM processes, which reclaim space from obsolete rows, and how to optimize these for performance.➽ Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates? This article discusses how a Marketing-Mix-Model (MMM) helps determine the sales impact of investments in different marketing channels. The core idea is that selecting the right variables is critical, as including or omitting certain variables can lead to biased estimates, resulting in poor marketing decisions and financial losses.➽ Dataflow Architecture—Derived Data Views and Eventual Consistency: This article explores the evolution of SmartGym's data pipeline, transitioning from a request-driven to an event-driven architecture. It discusses how this change enabled real-time processing of gym equipment data, enhancing personalized and collective fitness experiences across multiple system versions.🔄 Real-World Transformation: How Gen BI Made Data Work➽ The Key to LLMs: A Mathematical Understanding of Word Embeddings: This article explores how computers can process and understand text data using word embeddings, specifically through Word2Vec. Word embeddings convert words into numerical vectors, capturing their meanings and relationships in context. The article explains how Word2Vec's neural network architecture refines these representations for tasks like text classification and clustering.➽ Measuring AI Adoption and Impact: This article explores how to measure the adoption and impact of AI systems, focusing on key metrics like user adoption, time and cost savings, ROI, training effectiveness, and error reduction. These help ensure successful AI implementation and business value.➽ What is Tableau Cloud Manager? This article introduces Tableau Cloud Manager, an enhancement to Tableau Cloud that allows organizations to manage multiple sites with centralized administration. It improves flexibility, governance, and scalability, making cloud-based analytics more efficient for global and complex deployments.➽ Tableau and dbt Labs: Strategic Partnership and Integration. This article announces a new integration between Tableau and dbt, aimed at enhancing trust, governance, and collaboration in data-driven decision-making. It introduces features like seamless model export, data health checks, and integration with Tableau Pulse, improving data accuracy and efficiency for users.➽ Power BI October 2024 Feature Summary: This October 2024 update highlights key enhancements in Power BI, including the transition from Copilot's quick measure suggestions to Microsoft Fabric Copilot, Azure Map updates, a preview of the New List Slicer, and improvements in AI-driven report creation and visualization tools.➽ Live edit of Direct Lake models in Power BI Desktop: This update introduces live editing of Power BI semantic models in Direct Lake mode, enabling seamless, real-time modifications via Power BI Desktop. It enhances data modeling efficiency and supports export to Power BI Project for professional development workflows with Git integration.⚡ Quick Wins: BI Hacks for Instant Impact➽ Building a real-time analytics platform using BigQuery and Bigtable: This blog discusses the integration of BigQuery and Bigtable through the EXPORT DATA to Bigtable feature, enabling real-time data serving with low latency. It enhances operational systems by bridging analytics and large-scale, high-performance applications, facilitating faster data-driven decisions.➽ Beginner’s Guide to FastAPI: This beginner's guide to FastAPI introduces the Python web framework for building RESTful APIs. It highlights key features like high performance, asynchronous capabilities, and ease of use. The guide covers installation, basic application development, and creating CRUD operations.➽ 5 Innovative Statistical Methods for Small Data Sets: This article highlights five innovative statistical methods suitable for small data sets, including Bootstrap, Bayesian Estimation, Permutation Tests, Jackknife Resampling, and the Sign Test. These methods help data scientists derive insights when traditional approaches may not apply.➽ How Shopify improved consumer search intent with real-time ML? This article explains how Shopify integrates AI-powered search capabilities into storefronts, enhancing product relevance with Semantic Search. Using machine learning embeddings, Shopify processes vast amounts of data in real-time, improving search accuracy and boosting merchant sales.➽ Get up to 100x query performance improvement with BigQuery history-based optimizations: This article introduces BigQuery's history-based optimizations, a feature that speeds up query execution by learning from previous executions of similar queries. It automatically applies optimizations like join pushdown and semijoin reduction, enhancing performance and resource efficiency without user intervention.➽ Reltio's Data Plane Transformation with Spanner on Google Cloud: Reltio, a leader in AI-powered data unification, migrated from Cassandra to Google Cloud's Spanner, achieving enhanced performance, scalability, and reliability. Spanner's seamless integration, scalability, and simplified operations enabled Reltio to optimize data unification while improving availability and reducing operational complexity.🎤 Voices of BI: Lessons from Industry Experts➽ Use Logic Apps To Save Money In Azure: Data Engineering in Fabric. This article discusses how companies can save costs by automating the on/off scheduling of Azure services in lower environments using Azure Logic Apps. By scheduling services like databases and virtual machines to run only during work hours, businesses can reduce expenses while maintaining flexibility for development and testing.➽ Database Center — your AI-powered, unified fleet management solution: This blog introduces Database Center, an AI-powered tool that provides a unified view of database fleets, offering proactive performance and security recommendations, simplifying compliance management, and enabling AI-driven optimization for improved operational efficiency and risk mitigation.➽ How Toyota migrated Its Safety Connect telematics services platform with virtually zero downtime to AWS? This blog details Toyota's migration of its Drivelink telematics platform to AWS to improve system performance and uptime for connected services like Safety Connect. The migration, using blue-green deployments, canary releases, and database replication, ensured near-zero downtime while enhancing scalability and reliability.➽ Enriching metadata for accurate text-to-SQL generation for Amazon Athena: This blog discusses using AI models, like Amazon Bedrock’s Claude, to generate SQL queries from natural language inputs. It emphasizes the importance of metadata for accurate SQL generation, demonstrates the workflow for Athena queries, and addresses metadata management challenges.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

TMDL Support for Power BI’s ALM Toolkit, Microsoft Copilot for Azure SQL, AWS Glue + SalesforceLive Webinar: The Power of Data Storytelling in Driving Business Decisions (September 10, 2024 at 9 AM CST)Data doesn’t have to be overwhelming. Join our webinar to learn about Data Storytelling and turn complex information into actionable insights for faster decision-making.Click below to check the schedule in your time zone and secure your spot. Can't make it? Register to get the recording instead.REGISTER FOR FREESponsored @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Happy Thursday! 🍃Welcome to BIPro #73—Your Weekly Data Power-Up! 🚀In today’s fast-moving business world, real-time insights aren’t just nice to have—they’re a must. This week, we’re diving into the hottest BI trends, game-changing strategies, and key reads to elevate your BI expertise. Ready to level up? Let’s jump in!🧠 Thought Leadership: AI-Driven BoardroomsExplore "Unleashing the Power of Data with Trusted AI" by Wendy Turner-Williams. A must-read for board members and executives looking to modernize with data and AI.📊 Trending Now: Data Viz That Drives the Future➖ 5 Must-Know R Packages for Data Analysis➖ Master Pandas: Complex Filters Made Easy➖ Handling Categorical Data with Pandas Like a Pro➖ Cross-Correlation with NumPy: Simplified📖 Packt's Latest Must-Reads➖ Data Literacy with Python by Oswald Campesato➖ Data Analysis for Business Decisions: A Laboratory Manual by Andres Fortino➖ Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon Bedrock by Shikhar Kwatra and Bunny Kaushik➖ Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases by Alkin Tezuysal and Mr. Ibrar Ahmed🔄 BI in Action: Real-World Data Wins➖ BigQuery + Anthropic’s Claude: A Winning Combo➖ Cut Costs with Dataflow's New Source Reads➖ Valkey Meets Memorystore: Speed and Efficiency➖ Resilience at Scale by using Amazon QuickSight and Amazon Resilience Hub⚡ Instant BI Hacks: Boost Your Impact➖ New Deployment Pipelines: Faster & Smoother➖ TMDL Support for ALM Toolkit: Better Resilience➖ AWS Glue + Salesforce Integration: Accelerate Like Never Before➖ Manage Amazon Redshift Serverless with AWS CDK🎤 Expert Insights: Voices of BI➖ SQL Index: Rebuild or Reorganize?➖ Microsoft Copilot for Azure SQL: Next-Level Database Management➖ From TV Screens to Tableau: Visualize Your Favorite Shows with IMDb➖ Generative AI: Making Sense of Messy DataDig in and take your BI game to new heights! 🌟Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, Packt200+ hours of research on AI-led career growth strategies & hacks packed in 3 hoursThe only AI Crash Course you need to master 20+ AI tools, multiple hacks & prompting techniques in just 3 hoursYou’ll save 16 hours every week & find remote jobs using AI that will pay you upto $10,000/moGet it here for free (valid FOR next 24 hours only!)SponsoredSign Up|Advertise|Archives✨Fresh Off the Press: Exclusive New Titles Just for You!We’re thrilled to bring you this week’s must-have new releases, straight from the experts to your bookshelf! Whether you're eager to enhance your skills or explore new horizons, now is the perfect moment to add these invaluable resources to your collection.For a limited time,enjoy 30% off all eBooks at Packtpub.com. These books are thoughtfully crafted by industry insiders with hands-on experience, offering unique insights you won’t find anywhere else.Don’t let these Packt-exclusive deals slip away—seize the opportunity to learn from the best at an unbeatable price!Order Today at $34.98 $49.99Data Literacy with Python: A Comprehensive Guide to Understanding and Analyzing Data with PythonBy Mercury Learning and Information, Oswald CampesatoUnlock the world of data with this engaging new book designed to make learning data analysis, statistics, and visualization easier than ever. Here’s what you’ll discover:↔️ Clear, step-by-step explanations for key concepts↔️ Practical, hands-on Python examples to bring data to life↔️ Easy-to-follow progression from data basics to advanced model training↔️ Powerful tools like Matplotlib and Seaborn for stunning visualizations↔️ Real-world datasets and code to practice along the wayThis book is your guide to making sense of data, from cleaning and analyzing to visualizing and making data-driven decisions—all with Python! Get the eBook for $34.98 (originally $49.99) —master data analysis today!Order Today at $34.98$49.99Data Analysis for Business Decisions: A Laboratory ManualBy Mercury Learning and Information, Andres FortinoStep into the world of business analytics with this hands-on guide, designed to boost your statistical skills using Excel. Here's what you'll learn:↔ Practical case studies for real-world applications↔ How to clean, shape, and analyze data in Excel↔ Use Excel's Analysis ToolPak for powerful statistical insights↔ Master regression, forecasting, and A/B testing for better business decisionsThis book takes you from basics to advanced techniques, helping you make data-driven decisions with ease! Get the eBook now for $34.98 (originally $49.99) and boost your analytics skills!Order Today at $24.99$35.99Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon BedrockBy Shikhar Kwatra, Bunny KaushikDiscover the power of generative AI with this hands-on guide to Amazon Bedrock. Designed for practical application, you'll learn how to tackle real-world business challenges. Key highlights include:↔ Expert foundations of Amazon Bedrock from AWS specialists↔ Techniques for building and scaling AI applications↔ Advanced tips for prompt engineering and secure frameworks↔ Real-world cases, from text generation to virtual assistants↔ Best practices for security, monitoring, and ethical AIMaster AI and drive innovation with confidence! Get the eBook now for just $24.99 (originally $35.99) and start mastering AI with Amazon Bedrock today!Order Today at $21.99$31.99Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databasesBy Alkin Tezuysal, Mr. Ibrar AhmedDive into the world of database design and modeling with this practical guide to PostgreSQL and MySQL. Whether you're a beginner or looking to enhance your skills, here's what you'll learn:↔ Master database design, from fundamentals to advanced concepts↔ Hands-on exercises for real-world application↔ Seamless integration with web apps and emerging database trends↔ Tips on optimizing, scaling, and managing databases effectivelyGet ready to build modern, scalable databases with confidence! Get the eBook now for just $21.99 (originally $31.99) and start mastering PostgreSQL and MySQL database design today!📊 Data Viz Trends Shaping the Future of Insights➽ 5 Must-Know R Packages for Data Analysis: This blog introduces five essential R packages—dplyr, ggplot2, tidyr, lubridate, and shiny—highlighting their roles in data manipulation, visualization, and application development. It emphasizes how mastering these tools enhances productivity in data analysis.➽ How to Implement Complex Filters on DataFrame Columns with Pandas? This blog explains various methods for filtering data in a Pandas DataFrame using conditions, logical operators, string functions, lambda functions, and the query method, demonstrating efficient techniques for data manipulation in Python.➽ How to Manage Categorical Data Effectively with Pandas? This blog explains how to manage categorical data in Pandas, highlighting its memory efficiency compared to object types. It covers creating, renaming, and ordering categories while demonstrating practical examples for optimizing data analysis workflows.➽ How to Compute the Cross-Correlation Between Two NumPy Arrays? This blog explains cross-correlation, a method to measure similarity between two data sequences by shifting one relative to the other. It covers how to compute cross-correlation using NumPy’s `np.correlate` function, with examples and visualizations.Developing for iOS? Setapp's 2024 report on the state of the iOS market in the EU is a must-seeHow do users in the EU find apps? What's the main source of information about new apps? Would users install your app from a third-party app marketplace?Set yourself up for success with these and more valuable marketing insights in Setapp Mobile's report iOS Market Insights for EU.Get Insights freeSponsored🔄 Real-World Transformation: How Gen BI Made Data Work➽ Integrating BigQuery with Anthropic’s Claude: This blog discusses Google Cloud's integration of Anthropic's Claude models with BigQuery, enabling organizations to apply advanced generative AI for tasks like data analysis, summarization, translation, and more, enhancing productivity and data-driven decision-making.➽ Cut Costs & Boost Efficiency with Dataflow's New Source Reads: This blog discusses how Google Cloud’s Dataflow load balancing optimizes streaming pipelines by redistributing workloads, reducing costs, and improving latency. It highlights real-world use cases where load balancing significantly improved performance, reduced backlogs, and lowered worker scaling costs.➽ Announcing Memorystore for Valkey: This blog announces the launch of Memorystore for Valkey 7.2, an open-source, high-performance key-value datastore. It highlights Valkey's integration with Google Cloud, benefits like cost-efficient scaling, and its compatibility with Redis, offering improved data management solutions.➽ Assess Resilience at Scale by using Amazon QuickSight and Amazon Resilience Hub: This blog explains how to integrate AWS Resilience Hub with Amazon QuickSight for centralized resilience monitoring across multiple accounts. It guides users through collecting and visualizing resilience data, improving application resilience posture in AWS Organizations. 📚 Thought Leaders Speak: Packt Author Insights 🧠Unleashing the Power of Data with Trusted AI: A guide for board members and executivesBy Wendy Turner-WilliamsModernizing the boardroom to steer data and AIThe expertise provided and methods proposed by boards of directors of the past are outdated and inadequate for today’s standards of quality, ethics, and responsible use practices. Leadership roles for boards and executives must evolve significantly, extending well beyond merely maximizing profits or maintaining organizational stability. The emergence of everyday AI has broadened responsibilities, introducing ethical dilemmas, bias mitigation, and a much deeper understanding of data management intricacies and execution.This seismic shift extends beyond mere technological adaptation; it permeates every facet of an organization with the board of directors playing a pivotal role in orchestrating this transformative journey. As organizations grapple with the colossal task of integrating AI, a boardroom metamorphosis is inevitable. Embracing this change requires a deep introspection of the status quo; an understanding that AI adoption demands a deeper insight into data and its responsible use along with the acknowledgement that to do so, change will touch every corner of the organizational framework. This change reaches the highest echelons of leadership—the board of directors and executive leadership. This realization is reflected in46% of boardroom leadersstating that generative AI is currently their “main priority above anythingelse.”5“46% of boardroom learders stated that generative AI is currently their main priority above anything else.”One might ask, why is AI a board concern? Well, the introduction of AI technologies means the board’s fiduciary responsibility extends far beyond corporate profit. Boards are responsible for the health of the company and the management of company risk. This includes bridging various stakeholder interests, including customers, employees, shareholders, communities, and now society at large. The board’s oversight is crucial in ensuring that AI initiatives prioritize ethical considerations, maintain quality standards, protect privacy, address new security challenges, and adhere to regulatory compliance, thereby upholding stakeholders’ trust and confidence in the organization.The complex nature of AI technologies demands a strategic and structured approach. AI is fueled by one thing and one thing only—your data. Therefore, systemic cultural changes are required to overcome the challenges of scaling data and analytics. Over 90% of executives—91.9% in 2022—point to culture as the greatest impediment to achieving this business outcome. Only8.1%cite technology limitations as the primary impediment.691.9%Executives cite cultural barriers as the principal obstacle8.1%Executives cite technology limitations as the primary impedimentThe appointment of a Chief Data and AI Officer (CDAIO) willbe of paramount importance in this new paradigm. Reporting directly to the CEO and the board, this figure should be responsible for crafting comprehensive data and AI strategies and implementing tactical approaches, while weighing and devising risk mitigation measures for the organization’s AI initiatives. Their role is central to ensuring that AI integration aligns with the organization’s data offense and defense objectives.Want to dive deeper into the conversation and explore all the key takeaways? Sign up for a 7-day free trial and enjoy full access to the book. If you're already a Packt subscriber, you can read it for free! Plus, for a limited time, you can grab the e-book at 30% off. Don’t miss this chance to learn from the top 1% of industry experts and gain insights from their real-world experiences!Order Today at $79.99⚡ Quick Wins: BI Hacks for Instant Impact➽ Introducing the New Deployment Pipelines design: A leap forward in deployment Efficiency. This blog announces the redesigned Deployment Pipeline UI for Microsoft Fabric, offering an improved, user-friendly interface with enhanced features like stage-focused actions, search, filter, and zoom, while retaining core functionalities for a smoother deployment process.➽ Announcing TMDL support for the ALM Toolkit: This blog announces that the ALM Toolkit now supports semantic model diffs in the TMDL format, enhancing Power BI's Application Lifecycle Management (ALM) with Git-friendly, human-readable metadata, facilitating collaboration, incremental changes, and automation for enterprise-scale models.➽ Accelerate data integration with Salesforce and AWS using AWS Glue: This blog introduces the Salesforce connector for AWS Glue, a serverless data integration service, enabling seamless extraction, transformation, and loading (ETL) of Salesforce data into AWS destinations, streamlining data integration and reducing silos across SaaS platforms.➽ Use the AWS CDK with the Data Solutions Framework to provision and manage Amazon Redshift Serverless: This blog introduces the Data Solutions Framework (DSF) for AWS, demonstrating how to use AWS CDK and DSF to build a multi-data warehouse platform with Redshift Serverless. It simplifies provisioning, ETL jobs, data sharing, and collaboration across environments.Forward to a Friend!🎤 Voices of BI: Lessons from Industry Experts➽ SQL Index Rebuild vs Reorganize Comparison: This tutorial explains the impact of index fragmentation on SQL Server performance and the importance of maintaining indexes. It compares two defragmentation methods—Index Rebuild and Reorganize—and discusses their features, fill factor settings, and index statistics for optimal performance.➽ Microsoft Copilot for Azure SQL Database Management and Development: This article introduces Microsoft Copilot for Azure SQL Database, an AI assistant that integrates with Azure services to enhance productivity. It provides intelligent assistance for design, operation, optimization, and troubleshooting tasks, using natural language and large language models (LLMs).➽ From TV Screens to Tableau: Visualize Your Favorite Shows with IMDb. This blog by Kevin Flerlage, a Tableau Visionary, reflects on childhood memories, TV nostalgia, and his passion for data visualization. He explores Tableau's Data + TV challenge using IMDb data to analyze TV shows and share engaging insights.➽ Using Generative AI To Get Insights from Disorderly Data: This blog explores how to use generative AI, specifically GPT, for data analysis in operations, sharing best practices like data filtering, Python automation, ticket analysis, and visualization. It highlights AI's potential to streamline complex data workflows and improve productivity.See you next time!Copyright (C) 2024 Packt Publishing. All rights reserved.Our mailing address is:Packt Publishing Grosvenor House 11 St Paul's Square Birmingham, West Midlands B3 1RB United KingdomWant to change how you receive these emails?You canupdate your preferencesorunsubscribe*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }