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Looker’s semantic layer, QuickSight’s SPICE engine, Natural Language Querying via Amazon QMaster AI Tools, Set Automations & Build Agents – all in 16 hours (for free)Join the 2-Day Free AI Upskilling Sprint by Outskill which comes with 16 hours of intensive training on AI frameworks, tools and tactics that will make you an AI expert. Originally priced at $499, but the first 100 of you get in for completely FREE! Claim your spot now for $0! 🎁📅23rd May- Kick Off Call & Session 1✅Live sessions- 24th & 25th May🕜11AM EST to 7PM ESTInside the AI Bootcamp, you will learn:👉 AI tools to automate repetitive tasks and free up time for high-value work.👉 Smarter decision-making with Generative AI, Neural Networks, and LLMs.👉 Learn to generate images and videos using AI to speed up content creation and marketing.👉 AI-powered automations to eliminate manual, repetitive tasks.👉 CustomGPTs and AI Agents to make AI work for you even while you’re asleep.By the way, you will be learning from mentors from the top industries across the globe like Microsoft, Google, META, Amazon, etc. 🎁 You will also unlock $3,000+ in AI bonuses: 💬 Slack community access, 🧰 top AI tools, and ⚙️ ready-to-use workflows — all free when you attend!Join in now, (we have limited free seats! 🚨)SponsoredSubscribe | Submit a tip | Advertise with us🎉 Welcome to the 100th Edition of BIPro! 🎉Your trusted source for business intelligence insights, now with a powerful new twist.This milestone marks more than just a number, it’s a testament to the incredible community we’ve built together. Your support, feedback, and curiosity have made BIPro the go-to digest for data professionals navigating the rapidly evolving world of BI and analytics.To celebrate, we’re thrilled to launch the Deep Dive Column, spearheaded by our Content Engineer Ayushi Bulani. This new format tackles some of the most urgent questions in BI, starting with how Generative AI is reshaping (and sometimes complicating) data workflows. From hallucinated SQL to schema confusion, Ayushi breaks down what GenAI can’t do yet, and how data teams can work around those gaps with precision and care.🔍 Start with the lead story: [What Generative AI Still Can’t Do (and Why That Matters)]💡 This edition also delivers big updates across the data and AI ecosystem:⚙️ [Fabric Spark Native Execution Engine (NEE)] is now GA, bringing 6× faster Spark performance, no code changes required.🌐 [MongoDB Atlas becomes a native Azure integration (ANI)], streamlining billing, security, and deployment through the Azure console.🧠 [Gemini-powered Text-to-SQL from Google Cloud] transforms how analysts write queries, tackling schema context, SQL dialects, and hallucination challenges.🔎 [Looker’s semantic layer] and [Amazon QuickSight’s SPICE engine + Amazon Q] redefine how GenAI interprets business logic and delivers conversational BI at scale.⚡ Quick Wins You Don’t Want to Miss:📊 [Embedded analytics] done right, with Metabase’s white-labeled, interactive dashboards for SaaS products.🧩 [Power Apps tip] on sorting Combo Box values for cleaner user experiences.🛠️ [ADF onboarding guide] for teams navigating Azure Data Factory, Synapse, and Fabric transitions.📣 Plus: Take our AI Frustration Survey and help shape our upcoming issue on prompt engineering for data pros.As we step into this new phase, let’s build the future of BI together. Share your ideas, feedback, and wish, we’re listening.Here’s to the next 100 editions of innovation, insight, and impact.Cheers,Merlyn ShelleyGrowth Lead, Packt🎓Master the Math Behind Machine Learning - Free Primer!Get a head start on our upcoming release, Mathematics of Machine Learning by Tivadar Danka, with this free downloadable primer.🔍 Inside:Core concepts: Linear Algebra, Calculus, ProbabilityClear explanations + hands-on Python examplesWritten by a PhD mathematician & ML educator📩 Enter your email to get Essential Math for Machine Learning delivered to your inbox within 24 hours.👉 Sign Up Now - Get Your Free Primer! Rubrik * { -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; } html, body { margin: 0; padding: 0; } body { margin: 0 auto !important; padding: 0; font-family: Arial, sans-serif; -webkit-text-size-adjust: 100% !important; -ms-text-size-adjust: 100% !important; -webkit-font-smoothing: antialiased !important; } .mktoText a, .mktoSnippet a, a:link, a:visited { color: #03AADD; text-decoration: none; } a[x-apple-data-detectors] { color: inherit !important; text-decoration: none !important; font-size: inherit !important; font-family: inherit !important; font-weight: inherit !important; line-height: inherit !important; } img { border: 0 !important; outline: none !important; max-width: 100%; } table { border-spacing: 0; mso-table-lspace: 0px; mso-table-rspace: 0px; } th { margin: 0; padding: 0; font-weight: normal; } div, td, a, span { mso-line-height-rule: exactly; } ul, ol { Margin-top: 0; Margin-bottom: 0; padding-left: 32px; } li { Margin-top: 0; Margin-bottom: 0; } [owa] .col, .col { display: table-cell !important; } .link-word-break a { word-break: break-all; } .link-normal a, .link-normal a:visited, .link-normal a:link { color: #03AADD; text-decoration: none; } .link-light a, .link-light a:visited, .link-light a:link { color: #FFFFFF; text-decoration: underline; } .flex-button-a { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #0AC9BB; border: 0px solid #0AC9BB; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-a a, .flex-button-a a:visited, .flex-button-a a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } .flex-button-b { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #F2B03B; border: 0px solid #F2B03B; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-b a, .flex-button-b a:visited, .flex-button-b a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } @media only screen and (max-width: 100%; float: none !important; } .mob-full { width: 100%; width: 100%; height: auto !important; } .img-full { width: 100%; max-width: 100%; height: auto !important; } .img-scale { width: 100%; height: auto !important; } .col { display: block !important; } .mob-text-center { text-align: center !important; } .mob-text-default {} .mob-align-center { margin: 0 auto !important; float: none !important; } .mob-align-default {} .mob-hide { display: none !important; visibility: hidden !important; } } @media yahoo { * { overflow: visible !important; } .y-overflow-hidden { overflow: hidden !important; } } div#emailPreHeader { display: none !important; } [quick read] Here’s how to fix that... 30% of GenAI projects stall due to data quality, cost, and compliance challenges Tired of watching promising GenAI projects stall in proof-of-concept limbo? Almost 1 out of every 3 projects will stay there. Let’s change that. Reminder: Save May 25th on your calendar for an exclusive session about Rubrik Annapurna—built on Rubrik Security Cloud and integrated with Amazon Bedrock. This is your chance to push your AI from pilot to full production, securely and at scale. Here’s why you should register: Overcome architectural pitfalls that slow down GenAI deployments Achieve zero-copy, real-time, permission-aware data access See how to use DSPM capabilities for secure, compliant data handling Save Your Spot @media print { #_two50 { background-image: url('https://Rubrik.everestengagement.com/ea/RvMUiKfbxZ/?t=p&e=noemail&c='); } } blockquote #_two50, #mailContainerBody #_two50, div.OutlookMessageHeader, table.moz-email-headers-table { background-image: url('https://Rubrik.everestengagement.com/ea/RvMUiKfbxZ/?t=f&e=noemail&c='); } SponsoredWhat Generative AI Still Can’t Do (and Why That Matters)Generative AI tools like ChatGPT and Copilot are transforming the modern workflow. These tools promise high performance, but they're far from perfect; knowing their limitations is just as important as knowing their strengths. Right off the bat, these models don’t understand your data. They don’t connect predictions to your schema, business logic, or production constraints.They generate plausible code or queries but often without validating against actual structures or edge cases. This is where an understanding of prompt engineering comes in which doesn’t just mean better phrasing but translating context into constraints the model can work with. Otherwise, you're just as likely to get broken logic as usable code.Providing that structure up front significantly improves the accuracy of the output and this kind of precision is critical in data projects.Then there’s precision. You could be using GenAI to craft transformation pipelines or writing code. But the problem with this is that generative AI often hallucinates, which means that it confidently suggests syntax, libraries, or functions that don’t behave as described or sometimes even don’t exist! This can be especially risky when you're deploying to production or relying on subtle transformations that impact business-critical logic.That’s why you still need to vet the output carefully. Check the generated code against official documentation, test it in a sandbox, and validate the assumptions it's making. Even better, turn the AI into a research assistant. Ask it to cite its sources, link to relevant docs, or summarize the best practices from trusted repositories. Perhaps even ask the LLM to explain the rationale behind the code it generates. This not only helps you understand what it's trying to do, but also gives you a chance to spot gaps in its logic or mismatches with your data context before integrating anything into your pipeline.They’re also stateless. Most models can’t track your session context or versioned data logic across interactions. Unless you carefully prompt, they’ll forget key constraints or project-specific naming conventions. A work around for statelessness is maintaining a session summary. This is a running list of decisions, assumptions, and outputs that you can paste into each new prompt to keep the model aligned.Until LLMs gain persistent memory or better long-context performance, the burden of context management is on you. Being explicit pays off.Finally, there’s trust. In data engineering, pipelines break when assumptions are wrong. You can’t just eyeball AI output, you need test coverage, validation, and deployment-aware thinking that these tools can’t yet offer. To work around this, treat any AI-generated code or config as a first draft, not production-ready logic, always assume it's incomplete. You can build unit tests to see how well the generated code performs. In addition, consider working in a virtual environment when testing AI-suggested code. It allows you to safely install and trial new dependencies without affecting your core environment or other projects.Used well, generative AI can accelerate boilerplate, improve documentation, and even suggest alternatives. But it’s not a drop-in replacement for domain knowledge, testing discipline, or production-readiness.Where Does AI Fail You?Generative AI is everywhere and it’s not perfect. If you’ve ever been frustrated by code hallucinations, vague answers, or simply found that AI has a knowledge gap when it comes to your industry, we want to know. Help us map the real-world gaps in AI adoption by sharing your experience. We’ll publish the results (anonymized) in an upcoming issue on prompt engineering for data professionals.Take the Survey NowMachine Learning Summit 2025JULY 16–18 | LIVE (VIRTUAL)20+ ML Experts | 25+ Sessions | 3 Days of Practical Machine Learning and 35% OFFBOOK NOW AND SAVE 35%Use CodeEARLY35at checkoutDay 1: LLMs & Agentic AI From autonomous agents to agentic graph RAG and democratizing AI.Day 2: Applied AIReal-world use cases from tabular AI to time series GPTs and causal models.Day 3: GenAI in ProductionDeploy, monitor, and personalize GenAI with data-centric tools.Learn Live fromSebastian Raschka,Luca Massaron,Thomas Nield, and many more.35% OFF ends soon – this is the lowest price you’ll ever see.📊 Data Viz Trends Shaping the Future of Insights⭕Extracting deeper insights with Fabric Data Agents in Copilot in Power BI: Microsoft announces the integration of Fabric Data Agents with Copilot in Power BI, enabling users to query multiple Fabric resources like lakehouses, warehouses, and KQL databases using natural language. This standalone Copilot experience enhances data discovery, insight extraction, and workflow efficiency.⭕ Microsoft Fabric Spark: Native Execution Engine now generally available. The Fabric Spark Native Execution Engine (NEE) is now generally available in Fabric Runtime 1.3, offering up to 6× faster Spark workloads on lakehouses with no code changes. Built on Apache Gluten and Velox, NEE boosts Delta/Parquet processing with C++ vectorized execution.⭕ Techniques for improving text-to-SQL: Google Cloud’s Gemini-powered text-to-SQL enables users to generate SQL from natural language, enhancing productivity across BigQuery, CloudSQL, AlloyDB, and more. Techniques like schema retrieval, intent disambiguation, self-consistency, and validation address challenges in context understanding, SQL dialects, and accuracy, ensuring high-quality SQL generation at scale.⭕ How Looker’s semantic layer enhances gen AI trustworthiness: Looker’s semantic layer ensures trusted, consistent AI-driven business intelligence by grounding LLM responses in governed data models via LookML. It improves accuracy, reduces hallucinations, supports centralized metrics, and enhances natural language analytics, making conversational BI reliable, interpretable, and aligned with business definitions.⭕ How Opendoor transformed business intelligence with Amazon QuickSight? Opendoor transformed its business intelligence by migrating to Amazon QuickSight, achieving 80% cost savings, faster dashboards, and self-service analytics for non-technical users. QuickSight’s SPICE engine, natural language querying via Amazon Q, and external embedding enhanced data accessibility, performance, and partner collaboration organization-wide.⚡ Quick Wins: BI Hacks for Instant Impact⭕ What is embedded analytics? Metabase’s embedded analytics empowers SaaS apps to deliver interactive, white-labeled dashboards within their product. It supports self-service exploration, enhances user retention, reduces support requests, and enables scalable data access. With iframe, SDK, or custom builds, teams can integrate analytics with speed, security, and flexibility.⭕ How to Sort Combo Box Values in a Power Apps Canvas App: This Power Apps guide shows how to sort Combo Box and Drop Down values using the Sort and Value functions for better user experience. Demonstrated with SharePoint Lists, it supports text and numeric fields, ensuring clean, user-friendly UI in Canvas Apps.⭕ Top 5 Things You Should Know About Azure Data Factory: This onboarding guide outlines key Azure Data Factory (ADF) essentials, comparing ADF, Synapse, and Fabric Pipelines. It covers pipeline orchestration, dataflows, connection management, and billing complexities, stressing cost impacts of runtime and activity types. It’s crucial for teams migrating between Azure and Fabric.⭕ MongoDB Atlas is Now Available as a Microsoft Azure Native Integration: MongoDB Atlas is now available as an Azure Native Integration (ANI), enabling seamless deployment, unified billing, and native access via the Azure Portal. This boosts AI-driven development, real-time analytics, and secure scalability, while simplifying operations through Azure-native tools, including Service Connector and Entra ID.*{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}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @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}} * { -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; } html, body { margin: 0; padding: 0; } body { margin: 0 auto !important; padding: 0; font-family: Arial, sans-serif; -webkit-text-size-adjust: 100% !important; -ms-text-size-adjust: 100% !important; -webkit-font-smoothing: antialiased !important; } .mktoText a, .mktoSnippet a, a:link, a:visited { color: #03AADD; text-decoration: none; } a[x-apple-data-detectors] { color: inherit !important; text-decoration: none !important; font-size: inherit !important; font-family: inherit !important; font-weight: inherit !important; line-height: inherit !important; } img { border: 0 !important; outline: none !important; max-width: 100%; } table { border-spacing: 0; mso-table-lspace: 0px; mso-table-rspace: 0px; } th { margin: 0; padding: 0; font-weight: normal; } div, td, a, span { mso-line-height-rule: exactly; } ul, ol { Margin-top: 0; Margin-bottom: 0; padding-left: 32px; } li { Margin-top: 0; Margin-bottom: 0; } [owa] .col, .col { display: table-cell !important; } .link-word-break a { word-break: break-all; } .link-normal a, .link-normal a:visited, .link-normal a:link { color: #03AADD; text-decoration: none; } .link-light a, .link-light a:visited, .link-light a:link { color: #FFFFFF; text-decoration: underline; } .flex-button-a { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #0AC9BB; border: 0px solid #0AC9BB; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-a a, .flex-button-a a:visited, .flex-button-a a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } .flex-button-b { margin: 12px 10px; font-family: 'Inter', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: bold !important; background-color: #F2B03B; border: 0px solid #F2B03B; border-radius: 4px; border-collapse: collapse; text-align: center; } .flex-button-b a, .flex-button-b a:visited, .flex-button-b a:link { padding: 12px 10px; display: block; text-align: center; color: #FFFFFF !important; text-decoration: none !important; } @media only screen and (max-width: 100%; float: none !important; } .mob-full { width: 100%; width: 100%; height: auto !important; } .img-full { width: 100%; max-width: 100%; height: auto !important; } .img-scale { width: 100%; height: auto !important; } .col { display: block !important; } .mob-text-center { text-align: center !important; } .mob-text-default {} .mob-align-center { margin: 0 auto !important; float: none !important; } .mob-align-default {} .mob-hide { display: none !important; visibility: hidden !important; } } @media yahoo { * { overflow: visible !important; } .y-overflow-hidden { overflow: hidden !important; } } div#emailPreHeader { display: none !important; } @media print { #_two50 { background-image: url('https://Rubrik.everestengagement.com/ea/RvMUiKfbxZ/?t=p&e=noemail&c='); } } blockquote #_two50, #mailContainerBody #_two50, div.OutlookMessageHeader, table.moz-email-headers-table { background-image: url('https://Rubrik.everestengagement.com/ea/RvMUiKfbxZ/?t=f&e=noemail&c='); }

LLM-powered insight summarization for Tableau Pulse, The Definitive Guide to Power Query (M) @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hey , 🦋 Welcome to BIPro #75 -Your Weekly Business Intelligence Boost! 🚀Get ready to explore the latest BI trends, innovative strategies, and must-read insights that will elevate your data journey!📚 Fresh Reads to Fuel Your Data Journey✦ Business Intelligence with Looker Cookbook: Create BI solutions and data applications to explore and share insights in real time✦ The Complete Power BI Interview Guide: A modern approach to acing the data analyst interview and landing your dream job✦ Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages, Second Edition✦ Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulation.✦ Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards✦ The Definitive Guide to Power Query (M): Mastering complex data transformation with Power Query✦ Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence✦ Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions📊 Data Viz Trends You Need to Know✦ Time Series Data Simplified: Master data aggregation with Pandas.✦ Crafting Your Data Strategy: A roadmap to effective decision-making.✦ Task-Oriented Dialog Systems: Innovations with LangGraph and LangChain.✦ MIDI Files as Training Data: Uncover new possibilities.✦ Navigating Enterprise Data Quality: Your essential guide to accountability.🔄 Real-World Success Stories✦ Getting Started with OpenAI o1: Harness powerful reasoning models.✦ Modernize with Azure Tools: Streamline your database management.✦ Learning with LLMs: Enhance your reasoning skills.✦ Secure Your Data Pipelines: Explore new authentication features in OneLake.✦ Microsoft Fabric Gets Certified: Achieve HITRUST CSF compliance.✦ LLM-Powered Insights for Tableau Pulse: Develop reliable summarization techniques.⚡ Quick BI Wins for Instant Impact✦ Tableau Einstein: Integrate agent-powered analytics into your workflow.✦ Beginner's Guide to ClickHouse DB: Discover the benefits of this innovative database.✦ Introducing the AI Lakehouse: Embrace the future of data storage.✦ Explore OpenAI o1: Unlock its potential for your projects.✦ Join the Microsoft Fabric & AI Learning Hackathon: Get involved and innovate!🎤 Expert Insights: Voices of BI✦ Elsevier’s Data Revolution: Unleashing Tableau’s full potential.✦ Change Management Essentials: Understand the role of SQL Server DBAs.✦ SQL Variable Syntax Simplified: Automate your code with ease.✦ Backup Your AWS RDS SQL Server: Essential tips and tricks.✦ Enhance Your WSFC: Adding shared disks made simple.Join us every week to stay ahead in the dynamic world of business intelligence!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📚 Packt Author Insights: 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!➽ Business Intelligence with Looker Cookbook: Create BI solutions and data applications to explore and share insights in real timeThis new book on Looker is perfect for BI engineers and database developers who want to make better use of their data. It helps you visualize, analyze, and report data effortlessly. You'll learn how to connect data sources, build dashboards, and create insightful reports. The book also covers advanced techniques, troubleshooting, and Looker integration with other tools, making your data work smoother and your business decisions smarter. It’s a practical guide to mastering Looker, making your work easier and more efficient.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $21.99 $31.99➽ The Complete Power BI Interview Guide: A modern approach to acing the data analyst interview and landing your dream jobThis book is a friendly guide for Business Intelligence engineers preparing for Power BI job interviews. It helps you build confidence by offering tips on everything from creating a strong resume to mastering technical Power BI skills like data modeling and DAX. You'll also learn how to stand out in interviews, tackle tough questions, and handle salary negotiations. By the end, you'll feel ready to land your dream job and excel from day one!Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $23.99 $34.99➽ Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages, Second EditionThis book is perfect for Business Intelligence engineers looking to master Python and R in Power BI. It helps you tackle complex data tasks, like integrating external APIs and applying machine learning models. You’ll learn how to enhance dashboards with advanced visualizations, handle large datasets, and optimize performance using Intel’s MKL. It also covers data security techniques, advanced algorithms, and fuzzy matching. By the end, you’ll have the skills to manipulate data in ways Power BI alone can’t, making your analyses more powerful and efficient.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $29.99 $43.99➽ Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulationThis course is great for Business Intelligence professionals wanting to build strong Python and SQL skills. It covers everything from the basics to advanced techniques, helping you master Python programming and SQL queries. You’ll learn to integrate Python with SQL for better data manipulation, perform complex data analysis, and tackle real-world projects. By the end, you'll have the confidence and skills to handle diverse data challenges and become a valuable asset in the tech industry. It’s a practical, hands-on learning experience designed to boost your problem-solving abilities.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $23.99 $34.99➽ Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboardsThis book is your essential guide to mastering Excel for M365, focusing on creating automated, data-driven dashboards. It covers key tools like Power Query, dynamic arrays, and PivotTables, while teaching best practices for data visualization. Build robust dashboards from scratch, transforming complex data into actionable insights with ease and efficiency.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $16.99 $24.99➽ The Definitive Guide to Power Query (M): Mastering complex data transformation with Power QueryThis book is a complete guide to mastering Power Query for data transformation, from fundamentals to advanced techniques. With hands-on examples and real-world applications, you'll learn to use the Power Query M language, optimize performance, handle errors, and apply powerful data manipulation strategies to improve your data analysis skills.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $43.99➽ Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligenceThis book delves into Microsoft Fabric, teaching you how to build data analytics solutions for lakehouses, warehouses, and real-time analytics. Through real-world examples, you'll explore data integration, AI-driven insights, and security practices, while mastering tools like Power BI, Spark, and Copilot to enhance performance and productivity in the AI era.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $24.99 $35.99➽ Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutionsThis book, written by seven industry experts, equips you with essential skills in analytics engineering. You'll learn data pipeline design, data modeling, quality management, and governance, using tools like BigQuery and Tableau. The guide covers advanced topics like CI/CD, automation, and collaborative coding, helping you develop scalable, business-aligned analytics solutions.Access This Book with Your Packt Online Subscription – Begin Your Free Trial Now! Renews at $19.99/month.Order Today at $24.99 $35.99📊 Data Viz Trends Shaping the Future of Insights➽ How to Perform Data Aggregation Over Time Series Data with Pandas? This blog explains how to perform time series data aggregation using Python, specifically with Pandas and Numpy. It demonstrates resampling methods to summarize datasets over time, such as sales and profit, through a practical example.➽ The Data Strategy Choice Cascade. What your data strategy should look like? This blog explains the importance of developing a data strategy for organizations aiming to become data-driven. It introduces the Playing to Win strategy framework, providing a cheat sheet to guide teams in designing effective data strategies.➽ Creating Task-Oriented Dialog systems with LangGraph and LangChain: This article explains how to build a Task-Oriented Dialogue (ToD) system using LangGraph and LangChain. The system helps users create detailed User Stories by guiding interactions with a structured workflow of prompts, memory, and tool calling, ensuring task-focused dialogue.➽ MIDI Files as Training Data: This blog explains the crucial differences between MIDI scores and MIDI performances for beginners in deep learning with MIDI files, emphasizing their unique characteristics and providing practical examples for working with them in Python.➽ The “Who Does What” Guide To Enterprise Data Quality: This article explores data quality in enterprise environments, addressing roles in detection, triage, resolution, and measurement. It highlights the importance of distinguishing between foundational and derived data products and emphasizes the need for effective collaboration among data teams.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Getting Started with OpenAI o1 Reasoning Models: OpenAI's new o1 reasoning models, o1-preview and o1-mini, excel in critical thinking and problem-solving, demonstrating advanced capabilities in finance, coding, and machine learning projects, marking a significant improvement over previous models like GPT-4o.➽ Modernize your database with the consolidation and retirement of Azure Database Migration tools: This article discusses the migration of databases to Azure SQL, highlighting Microsoft's tools for simplifying the complex process. It outlines upcoming tool retirements and replacements, aiming to streamline user experiences and enhance modern data management capabilities.➽ Learning to Reason with LLMs: OpenAI introduces the o1 model, a large language model utilizing reinforcement learning for complex reasoning. It demonstrates significant improvements over previous models, excelling in competitive programming and advanced science, and enhancing problem-solving through structured thinking.➽ Introducing Workspace Identity Authentication for OneLake Shortcuts and Data Pipelines: Microsoft has launched authentication using workspace identity for OneLake external shortcuts and data pipelines, enhancing secure access to Azure Data Lake Storage. This feature simplifies management by eliminating the need for keys and supports trusted access for storage accounts.➽ Microsoft Fabric Achieves HITRUST CSF Certification: Microsoft Fabric, including its healthcare data solutions, has achieved HITRUST CSF v11.0.1 certification, ensuring compliance with industry security standards. This certification reassures customers of effective safeguards for sensitive healthcare data in the cloud.➽ Developing reliable LLM-powered insight summarization for Tableau Pulse: Tableau Pulse introduces generative AI for summarizing metric insights, enhancing user experience in data analytics. By leveraging large language models, it provides personalized, actionable summaries of key metrics, enabling better decision-making and streamlined data management.⚡ Quick Wins: BI Hacks for Instant Impact➽ Tableau Einstein: Agent-Powered Analytics Deliver Data and Insights in the Flow of Work. Tableau Einstein, built on Salesforce, revolutionizes analytics by integrating AI and autonomous agents to deliver real-time insights. It enhances data-driven decision-making across teams, enabling seamless access and collaboration on metrics within familiar workflows.➽ A Beginner’s Guide to ClickHouse Database: This tutorial introduces ClickHouse, a high-performance column-store database. It covers installation, database creation, SQL queries, and integration with Python, emphasizing ClickHouse's efficiency for real-time analytics and its user-friendly setup for developers.➽ Introducing the AI Lakehouse: The AI Lakehouse extends the traditional Lakehouse architecture to support analytics and AI systems by adding capabilities like real-time data processing, enhanced Python support, unified monitoring, and AI pipelines, enabling efficient batch and LLM applications.➽ Introducing OpenAI o1: OpenAI has launched the o1-preview series, new reasoning models designed to tackle complex tasks in science, coding, and math. These models spend more time thinking before responding, significantly improving problem-solving capabilities compared to previous versions.➽ Announcing: The Microsoft Fabric & AI Learning Hackathon: The post announces the Microsoft Fabric & AI Learning Hackathon, inviting participants to develop innovative Data + AI solutions, with $10,000 in prizes and opportunities for upskilling, workshops, and support from Microsoft experts.Forward to a Friend!🎤 Voices of BI: Lessons from Industry Experts➽ Elsevier ‘unleashes the power of data’ with Tableau: The article discusses how Elsevier, an information analytics company, implemented Tableau as its primary data visualization tool to centralize data across departments, reduce licensing costs, and foster a culture of self-service analytics, ultimately improving decision-making and efficiency.➽ What is Change Management and the SQL Server DBAs Role? This article explains Change Management processes for Database Administrators (DBAs), detailing their roles in implementing production changes. It covers the steps involved, from submitting Change Requests to testing and deploying changes, emphasizing the importance of structured procedures.➽ Auto Generate SQL Variable Syntax for Table Column Names: The article discusses how to streamline SQL coding for database administrators by automating the creation of variable-related code using stored procedures. It illustrates this with examples, emphasizing efficiency and reducing repetitive tasks in database management.➽ Download AWS RDS SQL Server Backup: The article explains how to back up an AWS RDS SQL Server database and store the backup locally. It outlines the process using native backup capabilities, Amazon S3 for storage, and necessary AWS components and configurations.➽ How to Add a New Shared Disk to a WSFC as a SQL Resource? The article provides guidelines for DBAs to add a new shared disk to a Windows Server Failover Cluster (WSFC) for an SQL instance when existing disks are full. It details the initialization and online steps for the new disk.Stay tuned for more—until next time!Copyright (C) 2024 Packt Publishing. 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Azure Real-Time Streaming, Interactive AI/BI Dashboards with Databricks, Hyper-Optimized AI Workflow🔌GraphQL API for Fabric, Next-Gen Digital Analytics Solution - Powered by Snowplow and Snowflake on AWS, AI chat at Domo with Amazon BedrockLive 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;} }🦋 Welcome to BIPro #74—Your Weekly Data Power-Up! 🚀We’re switching our schedule to Tuesdays to keep you ahead of the curve right at the start of your week! Dive into the latest BI trends, cutting-edge strategies, and essential reads to supercharge your data game.📖 Must-Reads This Week:✦ Data Literacy with Python by Oswald Campesato✦ Data Analysis for Business Decisions: A Laboratory Manual by Andres Fortino✦ Generative AI with Amazon Bedrock by Shikhar Kwatra & Bunny Kaushik✦ Database Design and Modeling with PostgreSQL and MySQL by Alkin Tezuysal & Mr. Ibrar Ahmed✦ Unleashing the Power of Data with Trusted AI by Wendy Turner-Williams📊Trends Shaping Data Insights:✦ API for GraphQL in Microsoft Fabric✦ Containers for Seamless SQL Server Deployment✦ NumPy in Linear Algebra Applications✦ Next-Gen Digital Analytics with Snowplow and Snowflake✦ New Storage Integration in Snowflake Connector🔄 Real-World Transformations:✦ Enhanced AI/BI Dashboards with Databricks✦ The Future of Data Lakehouses in Analytics & ML✦ Forecasting Service Utilization with Tabnet & Optuna✦ Designing Real-Time Streaming Platforms with Azure✦ Real-Time Financial Data Feeds with Amazon MSK & Flink⚡ Quick Wins for Instant Impact:✦ Let Tableau Write Your SQL✦ The Power of Predictive Analytics & BI✦ AtScale’s New Natural Language Query Capabilities✦ AI Chat Exploration in Domo with Amazon Bedrock✦ Customer Management Insights with PwC’s Engine on AWS🎤 Expert Voices:✦ Scaling Numerical Data: A Visual Guide by Samy Baladram✦ Implementing Graph RAG with Knowledge Graphs by Steve Hedden✦ 5 Pillars for a Hyper-Optimized AI Workflow by Gilad Rubin✦ Azure Managed Instance for SQL Server Backup & RestoreLet’s level up your BI game 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, PacktSign Up|Advertise|Archives📚 Packt Author Insights: 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!Order Today at $79.99Unleashing the Power of Data with Trusted AI: A guide for board members and executivesBy Wendy Turner-WilliamsFeeling overwhelmed by AI and data integration? This book, by a top digital transformation expert, simplifies it all.What you’ll gain:➤ Quick Decisions: Get actionable insights for faster, accurate choices.➤ AI Integration: Easily incorporate AI into your workflows.➤ Real-World Success: Learn from giants like Starbucks and Netflix.Why this book stands out:➤ Ethics and Compliance: Navigate AI’s ethical and regulatory challenges.➤ Boost Data Skills: Improve data quality and literacy.➤ Effective Strategies: Develop AI strategies that work.➤ Real-World Examples: See AI’s impact across industries.➤ Smarter Decisions: Use AI-driven insights for better decision-making.🚀 Boost Your AI Skills! Grab your eBook, "Unleashing the Power of Data with Trusted AI", for just $79.99. Get insights and success stories to transform your AI strategies. Buy now!📊 Data Viz Trends Shaping the Future of Insights➽ API for GraphQL in Microsoft Fabric: The blog explains how to share data from a Fabric warehouse using a GraphQL API. It details the benefits of GraphQL over REST APIs, including precise data extraction and efficient querying, and provides a guide to setting up the GraphQL API in Microsoft Fabric.➽ Using Containers to Avoid Installing SQL Server: This article details how to quickly set up SQL Server using Docker containers instead of a traditional installation. It covers installing Docker Desktop, configuring data directories, creating a `docker-compose` file, and testing the setup.➽ NumPy for Linear Algebra Applications: This article explores NumPy's capabilities for linear algebra, covering functions for matrix operations, such as multiplication, inversion, and decomposition. It provides practical examples for each function, showcasing their use in solving equations and data analysis.➽ Unlocking The Next-Gen Digital Analytics Solution, Powered by Snowplow and Snowflake on AWS: This post introduces the Next-Gen Digital Analytics solution on AWS, integrating Snowplow and Snowflake to enhance customer data analysis. It improves data quality, governance, and real-time insights, supporting AI adoption for better user engagement and business outcomes.➽ Announcing New Storage Integration Support in Snowflake Connector for Fabric Data Factory: Fabric Data Factory now supports Snowflake storage integration, enhancing data pipeline security by enabling secure connections with external storage providers. This feature simplifies data management, improves security, and offers fine-grained control over data flows.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Next-Level Interactivity in AI/BI Dashboards withDatabricks: Databricks AI/BI Dashboards, unveiled at the Data and AI Summit, now feature enhanced interactivity with cross-filtering, static widget parameters, and improved performance. These updates enable dynamic data exploration, secure access, and faster analytics with minimal manual configuration.➽ Data Lakehouses: Shaping The Future Of Analytics And Machine Learning. The article highlights the data lakehouse architecture as a transformative approach in analytics and machine learning. Combining features of data lakes and warehouses, it offers scalable, cost-effective data management and advanced analytics capabilities, while addressing challenges of both systems.➽ Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna ~by Hampus Gustavsson. The article explains using TabNet and Optuna for forecasting service utilization. It covers practical implementation of TabNet for predictive modeling, with Optuna optimizing hyperparameters. The focus is on real-world application and enhancing forecasting accuracy through these tools.➽ How to Design a Real-Time Streaming Platform with Azure? This blog explores designing a real-time data streaming platform using Microsoft Azure tools. It details how to utilize Azure Event Hub for data ingestion and Azure Stream Analytics for processing, aimed at creating a near real-time financial data pipeline and visualizations.➽ Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink: This article describes setting up a real-time financial data feed on AWS using Amazon MSK and Apache Flink. It explains how to enrich stock quotes with additional indicators, and deliver the data to customers via secure, low-latency streaming. ⚡ Quick Wins: BI Hacks for Instant Impact➽ Let Tableau Write Your SQL for You: This blog discusses the benefits of using Tableau’s dynamic SQL and relationships instead of custom SQL and joins. It highlights how relationships simplify data modeling by avoiding data explosion and improving performance, making dashboards more efficient and responsive.➽ Predictive Analytics and Business Intelligence: A Powerful Duo! This article explores the synergy between predictive analytics and business intelligence (BI). It emphasizes how BI provides historical insights while predictive analytics forecasts future trends, and how combining these tools can enhance forecasting, customer insights, operations, and risk management.➽ AtScale Launches New Natural Language Query Capabilities with Semantic Layer Integration: AtScale is introducing a private preview of its Natural Language Query (NQL) feature, allowing users to access data insights by asking questions in plain English. This advancement, combining Generative AI with AtScale’s Semantic Layer, simplifies data queries and improves decision-making accuracy.➽ Exploring data using AI chat at Domo with Amazon Bedrock: Domo is enhancing data insights with generative AI via its Domo.AI platform, powered by Amazon Bedrock. This allows users to query data using natural language, simplifying data analysis and visualization, and improving accessibility while addressing challenges like data quality and integration.➽ Data-Driven Customer Management Across Data Silos, Powered by PwC’s Customer Insights Engine on AWS: PwC Australia's Customer Insights Engine (CIE) on AWS provides a unified 360-degree view of customers by aggregating data from multiple sources. It uses machine learning and pre-built analytics to deliver personalized insights and enhance customer experiences efficiently.Forward to a Friend!🎤 Voices of BI: Lessons from Industry Experts➽ Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners ~ by Samy Baladram: This article explains data scaling in machine learning, comparing it to making large numbers more manageable for models. It covers various scaling techniques like normalization and Box-Cox transformation, demonstrating their impact on creating balanced, effective machine learning models.➽ How to Implement Graph RAG Using Knowledge Graphs and Vector Databases ~ by Steve Hedden: This article explores integrating knowledge graphs (KGs) with large language models (LLMs) using Retrieval-Augmented Generation (RAG). It highlights various methods like vector-based retrieval, prompt-to-query, and hybrid approaches, emphasizing how combining these techniques improves data retrieval and enhances LLM responses.➽ 5 Pillars for a Hyper-Optimized AI Workflow ~ by Gilad Rubin: This article explores the author's journey to find an elegant approach for structuring and developing AI & ML projects. It introduces five key pillars for creating a hyper-optimized AI workflow, focusing on metrics optimization, interactive development, production readiness, and modular code.➽ Azure Managed Instance Download and Restore SQL Server Backup: This article explains how Azure SQL Managed Instance (MI) supports both automated and manual backups. While Azure MI provides automatic backups, it also allows manual backups to Azure Blob Storage. It outlines the process for setting up these manual backups.Stay tuned for more—until next time!Copyright (C) 2024 Packt Publishing. 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Find must-read BI titles designed to help you thrive in a fast-paced data environment🏆 Boost Your BI Expertise – Get 30% Off All eBooks at PacktPub.com! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hey , 📚 Welcome to Packt’s Signature Series: The Newest Titles, Handpicked for You! 💡At BIPro, we've curated the Signature Series edition to keep you ahead in the fast-evolving Business Intelligence world.This handpicked collection of the latest titles from Packt offers practical insights from industry thought leaders to help you master modern data challenges.With the global BI market projected to hit $54.27 billion by 2030, staying ahead is no longer optional—it's essential. The Signature Series provides expert guidance to navigate real-world data issues and lead in the BI space."Data is the new oil but refining it into actionable insights is where the true value lies." – UnknownWhy Choose Packt Books?🔍 Tackle Critical BI Challenges: Our latest titles offer expert insights and practical solutions, drawn from real-world experiences in areas like real-time data management and predictive analytics. Learn from those who’ve faced similar challenges and discover the easiest, most effective tools to excel.🚀 Learn from the Best: Gain innovative strategies from industry leaders with firsthand experience, equipping you to become a trailblazer in business intelligence.🎁 Perks of Buying Direct: Enjoy a 30% discount on all eBooks and a 7-day free trial of our online subscription, only at PacktPub.com.Elevate your BI game with the Signature Series today!Cheers,Merlyn ShelleyEditor-in-Chief, PacktSign Up|Advertise|Archives📚 Packt’s Signature Series: New Titles Just for You!💥 "In the data-driven world, insights are your superpower. The right book transforms complexity into clarity."Elevate your data skills with our Signature Series. Handpicked for you, these titles will transform your BI strategy today.➽ Business Intelligence with Looker Cookbook: Create BI solutions and data applications to explore and share insights in real timeThis new book on Looker is perfect for BI engineers and database developers who want to make better use of their data. It helps you visualize, analyze, and report data effortlessly. You'll learn how to connect data sources, build dashboards, and create insightful reports. The book also covers advanced techniques, troubleshooting, and Looker integration with other tools, making your data work smoother and your business decisions smarter. It’s a practical guide to mastering Looker, making your work easier and more efficient.Order Today at $21.99 $31.99➽ The Complete Power BI Interview Guide: A modern approach to acing the data analyst interview and landing your dream jobThis book is a friendly guide for Business Intelligence engineers preparing for Power BI job interviews. It helps you build confidence by offering tips on everything from creating a strong resume to mastering technical Power BI skills like data modeling and DAX. You'll also learn how to stand out in interviews, tackle tough questions, and handle salary negotiations. By the end, you'll feel ready to land your dream job and excel from day one!Order Today at $23.99 $34.99➽ Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages,Second EditionThis book is perfect for Business Intelligence engineers looking to master Python and R in Power BI. It helps you tackle complex data tasks, like integrating external APIs and applying machine learning models. You’ll learn how to enhance dashboards with advanced visualizations, handle large datasets, and optimize performance using Intel’s MKL. It also covers data security techniques, advanced algorithms, and fuzzy matching. By the end, you’ll have the skills to manipulate data in ways Power BI alone can’t, making your analyses more powerful and efficient.Order Today at $29.99 $43.99➽ Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulationThis course is great for Business Intelligence professionals wanting to build strong Python and SQL skills. It covers everything from the basics to advanced techniques, helping you master Python programming and SQL queries. You’ll learn to integrate Python with SQL for better data manipulation, perform complex data analysis, and tackle real-world projects. By the end, you'll have the confidence and skills to handle diverse data challenges and become a valuable asset in the tech industry. It’s a practical, hands-on learning experience designed to boost your problem-solving abilities.Order Today at $23.99 $34.99➽ Azure Data Engineer Associate Certification Guide - Second Edition: Ace the DP-203 exam with advanced data engineering skills,Second EditionThis book is a helpful guide for data professionals preparing for the DP-203 exam, focusing on Azure data engineering. It teaches you how to design secure data solutions, handle data lakes, and perform complex ETL operations in Azure. With real-world examples and hands-on exercises, you'll gain the skills to confidently manage Azure services like Synapse Analytics and Databricks. By the end, you'll be well-prepared for the exam and equipped to tackle cloud data challenges in your job. It’s all about making your Azure skills strong and exam-ready!Order Today at $27.98 $39.99➽ Tableau Certified Data Analyst Certification Guide: Ace the Tableau Data Analyst certification exam with expert guidance and practice materialUnlock your potential as a Tableau Certified Data Analyst with this expert-driven guide. Covering all exam objectives, it offers clear explanations, practical exercises, and mock exams. Whether you're a beginner or experienced user, this book will sharpen your skills in data analysis, visualization, and Tableau Cloud management for certification success.Order Today at $27.98 $39.99➽ Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboardsThis book is your essential guide to mastering Excel for M365, focusing on creating automated, data-driven dashboards. It covers key tools like Power Query, dynamic arrays, and PivotTables, while teaching best practices for data visualization. Build robust dashboards from scratch, transforming complex data into actionable insights with ease and efficiency.Order Today at $16.99 $24.99➽ The Definitive Guide to Power Query (M): Mastering complex data transformation with Power QueryThis book is a complete guide to mastering Power Query for data transformation, from fundamentals to advanced techniques. With hands-on examples and real-world applications, you'll learn to use the Power Query M language, optimize performance, handle errors, and apply powerful data manipulation strategies to improve your data analysis skills.Order Today at $43.99➽ Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligenceThis book delves into Microsoft Fabric, teaching you how to build data analytics solutions for lakehouses, warehouses, and real-time analytics. Through real-world examples, you'll explore data integration, AI-driven insights, and security practices, while mastering tools like Power BI, Spark, and Copilot to enhance performance and productivity in the AI era.Order Today at $24.99 $35.99➽ Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutionsThis book, written by seven industry experts, equips you with essential skills in analytics engineering. You'll learn data pipeline design, data modeling, quality management, and governance, using tools like BigQuery and Tableau. The guide covers advanced topics like CI/CD, automation, and collaborative coding, helping you develop scalable, business-aligned analytics solutions.Order Today at $24.99 $35.99➽ Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflowsThis book introduces DuckDB, a fast in-process analytical database. You'll learn to load, transform, and query diverse data formats using SQL, Python, and R. With hands-on examples, you'll explore DuckDB’s extensions, performance optimizations, and integration with open-source tools and cloud services, empowering you to enhance your data analysis workflows and projects.Order Today at $29.99 $43.99➽ Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI,Second EditionThis book teaches advanced data cleaning techniques using Python, focusing on AI and machine learning tasks. You'll learn to preprocess, clean, and validate large datasets, apply machine learning tools for error detection, and use OpenAI tools for automation. By the end, you'll master efficient data cleaning for AI, ML, and NLP models.Order Today at $27.98 $39.99➽ Data Analysis Foundations with Python: Master Data Analysis with Python: From Basics to Advanced TechniquesThis book offers a complete guide to mastering data analysis with Python, from basics to advanced techniques. You'll learn to manipulate data using NumPy and Pandas, create visualizations with Matplotlib and Seaborn, apply machine learning, and engage in real-world projects like sales analysis and sentiment analysis, gaining hands-on experience for practical applications.Order Today at $23.99 $34.99➽ Data Analytics for Marketing: A practical guide to analyzing marketing data using PythonThis book teaches marketing professionals how to use Python libraries like DoWhy, Pandas, and Prophet to analyze marketing data. It covers statistical models, customer insights, causal inference, and data visualization techniques. You'll learn to turn raw data into actionable information, helping to shape data-driven strategies without complex math.Order Today at $24.99 $35.99Copyright (C) 2024 Packt Publishing. 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Local Debugging for Fabric User Data Functions, BigQuery Workload Management UpgradesYour Exclusive Invite for the World’s first 2-day AI Challenge (usually $895, but $0 today)51% of companies have started using AITech giants have cut over 53,000 jobs in 2025 itselfAnd 40% of professionals fear that AI will take away their job.But here’s the real picture - companies aren't simply eliminating roles, they're hiring people who are AI-skilled, understand AI, can use AI & even build with AI. Join the online 2-Day LIVE AI Mastermind by Outskill - a hands-on bootcamp designed to make you an AI-powered professional in just 16 hours. Usually $895, but for the next 48 hours you can get in for completely FREE!In just 16 hours & 5 sessions, you will:Learn the basics of LLMs and how they workMaster prompt engineering for precise AI outputsBuild custom GPT bots and AI agents that save you 20+ hours weeklyCreate high-quality images and videos for content, marketing, and brandingAutomate tasks and turn your AI skills into a profitable career or business📅Kick off Call & Session 1- Friday (10am EST- 1pm EST)🧠Sessions 2-5:🕜Saturday 11 AM to 7 PM EST; Sunday 11AM EST to 7PM ESTAll by global experts from companies like Amazon, Microsoft, SamurAI and more. And it’s ALL. FOR. FREE. You will also unlock $3,000+ in AI bonuses: Slack community access, Your Personalised AI tool kit, and Extensive Prompt Library with 3000+ ready-to-use prompts - all free when you attend!Join in now, we have limited free seats!SponsoredSubscribe|Submit a tip|Advertise with usWelcome to BIPro #102 – Smarter, Sharper, AI-First BIFrom zero-ETL breakthroughs to smarter debugging in Fabric, this issue is packed with forward-looking updates that make your BI practice leaner and more intelligent. Whether you're exploring transactional BigQuery features, debugging user data functions locally, or scaling agentic AI, these updates give you the tools to stay ahead in an increasingly AI-driven analytics landscape.Key Highlights:Free Chapter: Learning Tableau 2025Explore Tableau’s latest AI-powered features with a hands-on chapter from the bestselling series by Joshua Milligan.BigQuery Workload Management UpgradesBoost efficiency with smarter slot allocation, autoscaling improvements, and predictable performance.Zero-ETL from DynamoDB to SageMaker LakehouseEnable real-time analytics without pipelines using no-code CDC-based integration.Local Debugging for Fabric User Data FunctionsTest and troubleshoot Python-based SQL code safely in VS Code—no production risks.Best Practices for Purview DLP in FabricSecure sensitive data in OneLake with Microsoft’s enhanced DLP policies.Azure Data Factory vs Synapse vs Fabric PipelinesGet clarity on core differences in tools, billing, and connection management.SponsoredCloudVRM slashes vendor review and audit time by connecting directly to cloud environments, no spreadsheets, no forms, just real-time compliance, 24/7. Watch the demo.💡 Whether you’re scaling AI in your stack or still fighting dashboard fatigue, this week’s BIPro is packed with insights to move your strategy forward.Helping you close the gap between data and action.Cheers,Merlyn ShelleyGrowth Lead, PacktGet Chapter 1 of Learning Tableau 2025 – Free!Explore Tableau’s newest AI-powered capabilities with a free PDF of Chapter 1 from the latest edition of the bestselling series, Learning Tableau 2025.Written by Tableau Visionary Joshua Milligan, this hands-on guide helps you build smarter dashboards, master data prep, and apply AI-driven insights.Sign up to download your free chapter!Grab Your Free Chapter Now!📊 Data Viz Trends Shaping the Future of Insights🔷 Understanding updates to BigQuery workload management: Boost BigQuery Efficiency. Google’s June 2025 update enhances BigQuery workload management with fairer slot allocation, reservation predictability, autoscaler granularity, runtime reservation targeting, and detailed cost labeling. These updates improve performance, cost control, and scalability, empowering BI teams to manage compute resources more intelligently for consistent, optimized data analytics at scale.🔷 BigQuery features for transactional data management: BigQuery Evolves Beyond Analytics. Google’s latest update brings transactional power to BigQuery. Highlights include fine-grained DML for efficient data edits, CHANGES TVF for row-level change tracking, and real-time DML on streaming data. These features streamline dynamic data management, cutting costs, reducing latency, and simplifying architectures for responsive, analytics-integrated applications.🔷 Refresh SQL analytics endpoint Metadata REST API (Preview): Refresh SQL Endpoint Metadata On-Demand: Microsoft Fabric now enables API-based table metadata refresh for SQL analytics endpoints. Gain synchronous/asynchronous control, real-time sync status, error diagnostics, and timeout customization. This streamlines data validation, enhances workflow precision, and ensures up-to-date metadata for accurate, responsive analytics across your Fabric workspace.📈 Dive into Databases: SQL Essentials🔷 How to Perform a Disaster Recovery Switchover with Patroni for PostgreSQL? Ensure PostgreSQL Resilience with Patroni DR Switchover: Learn how to perform a disaster recovery switchover using Patroni for PostgreSQL. This guide covers DC-DR cluster setup, real-time failover management, and safe primary-to-standby transitions. Streamline HA/DR operations, minimize downtime, and safeguard data continuity across distributed environments using Patroni and AnyDBver.🔷 AI Agents: The Protocol Revolution Driving Next-Gen Enterprise Intelligence. Agentic AI Standards Take Shape: New protocols, MCP, ACP, and A2A, are accelerating enterprise adoption of agentic AI. These standards simplify agent collaboration, cross-platform integration, and real-time context building. With growing vendor support, including Couchbase and Google, developers can now build scalable, intelligent, multi-agent systems more easily, ushering in AI’s next enterprise phase.🔷 Techniques to query Azure SQL’s new JSON Datatype: Azure SQL Embraces Native JSON: Azure SQL’s new JSON datatype and functions (including JSON_ARRAYAGG, JSON_OBJECTAGG) simplify structured JSON handling. Benefits include native constraints for data validation, powerful aggregation, and dynamic pivoting. These enhancements streamline semi-structured data analytics, boost SQL Server 2025 readiness, and align with ANSI SQL:2016 standards.🔄 Real-World Transformation: How Gen BI Made Data Work🔷 Simplify real-time analytics with zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse: Zero-ETL for Real-Time Insights: AWS introduces zero-ETL integration from DynamoDB to SageMaker Lakehouse. This no-code setup enables real-time analytics and ML on NoSQL data, without ETL pipelines. With CDC-based syncing, Apache Iceberg support, and SageMaker Unified Studio access, enterprises can drive faster, scalable decision-making from operational data.🔷 Pub/Sub single message transforms: Streamline Real-Time Data with Pub/Sub SMTs: Google Cloud introduces Pub/Sub Single Message Transforms (SMTs), starting with JavaScript UDFs. Perform lightweight in-stream transformations, like redaction, format conversion, and filtering, directly in Pub/Sub. This reduces latency, simplifies architecture, and enhances flexibility for BI teams needing real-time insights without extra processing infrastructure.🔷 How to debug user data functions locally in VS Code? Accelerate Fabric Function Development with Local Debugging: Microsoft Fabric now supports local debugging for user data functions in VS Code. Developers can write, test, and troubleshoot Python-based SQL operations safely without impacting live environments. Breakpoints, logs, and Fabric extensions enhance function validation, boosting efficiency in building robust, data-driven BI workflows.🔷 Secure Your Data from Day One: Best Practices for Success with Purview Data Loss Prevention (DLP) Policies in Microsoft Fabric. Secure Fabric Data with Purview DLP Best Practices: Microsoft Fabric now offers enhanced Data Loss Prevention (DLP) via Purview. From classifying sensitive data to refining policy scopes and empowering teams, these strategies help protect OneLake data, ensure compliance, and foster responsible data use, establishing a secure foundation for scalable analytics.⚡ Quick Wins: BI Hacks for Instant Impact🔷 SQL Automate - A DBA's Time-Saving Toolkit: Optimize SQL Server Deployments with SQL Automate: SQL Automate is a PowerShell-based toolkit that simplifies and speeds up SQL Server installation and post-configuration tasks. From database setup to TempDB tuning and firewall rules, DBAs can save time, reduce manual errors, and focus on strategic work with this efficient, modular automation tool.🔷 How to Sort Combo Box Values in a Power Apps Canvas App? Enhance Power Apps UX with Sorted Combo Boxes: Sorting Combo Box and Drop Down values in Power Apps boosts usability. This guide shows how to alphabetically or numerically sort SharePoint list-driven fields using formulas like Sort and SortByColumns, ensuring cleaner, more intuitive interfaces in forms and data-driven canvas apps.🔷 Top 5 Things You Should Know About Azure Data Factory: Master Azure Data Factory Fundamentals: With three ADF versions, Azure, Synapse, and Fabric, understanding their differences is essential. This guide covers key distinctions, connection management quirks, and pricing basics. Whether you're onboarding teammates or migrating workloads, these insights help you navigate ETL/ELT orchestration and cost-efficient pipeline development across Microsoft's evolving data platforms.See you next time!*{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}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @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}}

Tableau Goes Agentic at Gartner BI Bake-OffSubscribe|Submit a tip|Advertise with us📩 Welcome to This Week’s Edition of BIPro 101From Self-Service Stalls to AI-Driven MomentumThis week, we unpack the rising tide of AI-powered business intelligence, why traditional self-service BI is falling short, and how AI is turning dashboards into decision engines. If your BI tools feel more like abandoned highways than high-speed insight lanes, this is the edition you’ve been waiting for.🧠 Feature Story👉 Why Self-Service BI Fails (and How AI-Powered Analytics Is Fixing It)Dashboards alone aren’t enough. From steep learning curves and fragmented metrics to data distrust and feature overload, we break down why self-service BI initiatives often stall, and how AI tools like NLP, automated insights, and anomaly detection are reshaping BI into something faster, smarter, and finally user-friendly.🎯 From “DIY dashboards” to “AI that knows what matters.”🚀 Top Headlines in BI + Analytics🔧 Microsoft Fabric Doubles Down on GenAIWith Copilot boosting productivity 52% and new tools like Cosmos DB and digital twins in preview, Fabric is evolving fast for developers and analysts alike.→ Read more🔐 Databricks Meets Fabric, SecurelyNew Fabric pipelines with VNet Gateway and OPDG options allow private, high-throughput data movement from Azure Databricks to OneLake.→ Read more🏈 NFL Draft + Combine IQ Break New Ground with Amazon QuickSightOver a million users gained real-time, AI-powered insights through embedded dashboards, transforming fan experience and scout strategy alike.→ Read more📊 Amazon QuickSight Boosts Admin VisibilityNew dataset health dashboards powered by AWS Glue and Athena bring much-needed clarity to SPICE usage, refresh status, and access tracking.→ Read more🧠 Google Cloud Expands Its Open Lakehouse with AI MuscleFrom Iceberg-native storage and AI-native notebooks to the Dataplex Universal Catalog, Google’s Data Cloud is redefining openness and intelligence at scale.→ Read more⚡ BigQuery + Apache DataSketches = Lightning-Fast Approximate AnalyticsNeed quick answers from massive data? New sketch functions enable fast, memory-efficient queries for cardinality, quantiles, and frequency patterns.→ Read more🧩 Tableau Goes Agentic at Gartner BI Bake-OffTableau Next + Pulse redefines assistive analytics. With explainable insights and embedded workflows, data meets you where decisions happen.→ Read more🎉 Alteryx One Debuts at Inspire 2025A unified platform bringing together AI, analytics, and cloud, plus new features like Magic Reports and Copilot to automate smarter workflows.→ Read moreSponsored🔐 Mobile App SecurityFuture-proof your app. Discover how your mobile app can evolve automatically, leaving reverse engineers in the dust with every release.👉 Register Now🤖 AI Side HustleEarn up to $50/hr building your AI skills, no experience needed!💰 Competitive Pay | ⏰ Flexible Schedule | 🚀 Remote & Beginner-Friendly👉 Apply Now💡 Whether you’re scaling AI in your stack or still fighting dashboard fatigue, this week’s BIPro is packed with insights to move your strategy forward.Helping you close the gap between data and action.Cheers,Merlyn ShelleyGrowth Lead, PacktBuild Your Own AI Agents Over The WeekendJoin the live "Building AI Agents Over the Weekend" Workshop starting on June 21st and build your own agent in 2 weekend.In this workshop, the Instructors will guide you through building a fully functional autonomous agent and show you exactly how to deploy it in the real world.BOOK NOW AND SAVE 25%Use Code AGENT25 at checkoutWhy Self-Service BI Fails (and How AI-Powered Analytics Is Fixing It)You’ve rolled out a modern BI platform. Your dashboards are slick. Your training docs are shared. You’ve told every department,“The data is now in your hands.”So why are people still emailing analysts for basic metrics?You’re not alone. The disconnect between the potential of self-service BI and its practical impact is more than anecdotal, it’s systemic.Why Do So Many Self-Service BI Initiatives End in Frustration?According toSalesforce’s 2023Untapped Dataglobal surveyof nearly 10,000 business leaders:80% say data is critical to decision-makingin their organization.Yet41% admit they don’t understand their databecause it’s either too complex or not accessible enough.Even more telling,67% aren’t using data to adapt pricing in response to inflation, andonly 29% use data when launching into new markets.That’s a staggering mismatch between intention and execution.And it gets to the heart of the issue:It’s not that businesses don’t believe in data, it’s that they’re struggling to operationalize it.Self-service BI tools were supposed to fix this. But most fail to account for the reality on the ground: varied data fluency, poor data trust, and fragmented tooling. So instead of empowering teams, many BI platforms end up underused, misused, or entirely abandoned.In this piece, we’ll dig into:Why self-service BI often disappoints.The real-world roadblocks, from governance to user psychology.And most importantly, howAI is reshaping the landscapeby closing the chasm between “available data” and “actionable insight.”Let’s start with why self-serve BI, as it stands, keeps falling short, despite the best of intentions.The Real-World Challenges Undermining Self-Service BIThe promise of self-service BI is often very compelling: empower business users to explore data independently and free up data teams for more strategic work. But for many organizations, that vision collides with hard realities once the tools are rolled out. Here’s why.1. Steep Learning Curves That Undermine AdoptionDespite claims of “intuitive design,” many self-service BI platforms demand more than most non-technical users can comfortably deliver. Business users are often expected to:Identify relevant data sources among dozens of poorly labeled tables.Understand underlying data models and hierarchies.Know when to apply filters, joins, and aggregations appropriately.Build visualizations that tell a clear, actionable story.It’s not that marketing managers, sales leaders, or product teams aren’t intelligent, it’s thatthey’re not trained data analysts, and they shouldn’t have to be.A 2022 Forrester reportfound that61% of business users felt overwhelmed by the number of steps required to create a report, andonly 23% were confidentin interpreting the results without assistance from a data team.In real terms, this plays out in everyday scenarios:A regional sales manager logs into the BI tool to understand their team’s pipeline performance. They find six similarly named datasets and three definitions of “qualified lead.” After 15 minutes of guesswork, they give up and email the analyst.A product manager tries to compare user retention between two onboarding variants. The retention metrics are buried in a nested data model. They run the wrong query and present flawed data in the next roadmap review.These scenarios aren’t edge cases. They’re the norm.2. Data Trust and Governance Gaps Erode ConfidenceWhen different teams use different metrics, or worse, the same metric with different definitions, confidence in BI tools erodes fast. Mismatched KPIs between marketing and finance? Inconsistent sales data across countries? It doesn’t take long before users start to distrust the numbers.According toHarvard Business Review,only 3% of employees trust their company’s data,a stunning figure that underscores the depth of the issue.These problems often stem from:Lack of centralized metric definitions or semantic layers.Poor documentation around data lineage or source-of-truth tables.Siloed reporting logic across teams or departments.Consider a CMO reviewing campaign ROI dashboards from marketing ops, while the CFO presents a different ROI number based on finance’s attribution logic. Both teams used the same self-serve BI tool. Neither trusts the other’s numbers. The result? Data becomes politicized, and the BI platform becomes a battleground.3. Overwhelming Complexity Instead of EmpowermentBI vendors often tout the flexibility of their tools, dozens of chart types, calculated fields, advanced filters, embedding, real-time queries. For power users, this is a goldmine. For everyone else? It’s cognitive overload.A Dresner Advisory Services surveyrevealed thatnearly 70% of users stick to less than 10% of a BI tool’s available functionality, primarily out of confusion or fear of making mistakes.Without guardrails or contextual guidance, users end up:Building dashboards with mismatched scales or misleading aggregations.Recreating the same charts that already exist elsewhere, contributing to dashboard sprawl.Focusing on “what’s easy to visualize” instead of “what matters.”I read somewhere on a social forum, not sure exactly where, that over 60% of dashboards created in a self-service BI tool hadn’t been accessed in the last 90 days. Many were duplicated versions with only minor changes to filters or visual styles. That’s not insight; it’s clutter masquerading as empowerment.The Bigger PictureThese challenges, learning curves, trust issues, and feature bloat, are not isolated problems. They compound each other. A user unsure of how to explore the data is less likely to trust what they find. A user overwhelmed by options will stick to shallow reporting. A team burned by one bad insight may never try again.And ultimately,self-service BI becomes self-defeating.The irony? In our effort to “democratize data,” we’ve made people afraid of it.How AI Is Revolutionizing Self-Service BIAs the limits of traditional self-service BI become clear, organizations are turning to Artificial Intelligence (AI) not just as an enhancement, but as acritical enablerof scalable, reliable, and truly democratized analytics.AI isn’t just another feature layer; it fundamentally reimagines how users engage with data, shifting the focus from “self-serve tooling” toaugmented decision-making.Here’s how AI is actively reshaping the self-service BI landscape:1. Natural Language Processing (NLP): Ask, Don’t BuildOne of the most groundbreaking shifts is the use of Natural Language Processing (NLP), which allows users to query data in plain English (or other natural languages) instead of navigating complex schemas or filters.Imagine this:Instead of digging through a tangled data model, a marketing manager simply types:“What was our customer acquisition cost by channel last quarter?”And in seconds, they get a chart, accurate, visual, and ready to act on.Platforms likeThoughtSpot, Microsoft Power BI with Copilot, Tableau Pulse, andZoho Analyticsare now embedding NLP to allow this kind of seamless interaction.According to asurvey by PixelPlex,NLP-enabled BI platforms can reduce query generation time by up to 60%, anddouble adoption ratesamong non-technical users.This functionality bridges a critical gap: it empowers business users to explore datawithout knowing the data,lowering the technical barrier dramatically.Continue reading on Packt’s Medium Page to dive deeper into the insights...🔍 BI Buzz: News & Highlights📌 Get to insights faster with SaaS databases and “chat with your data”: Microsoft Fabric's latest update supercharges AI-driven development. A study showed generative AI boosts developer productivity by 26%, with Fabric users completing tasks 52% faster and 36% more accurately using Copilot. New previews like Cosmos DB for semi-structured data and a digital twin builder further empower developers to build intelligent, scalable AI applications.📌 Integrating Fabric with Databricks using private network: Microsoft Fabric now offers native, secure data movement from Azure Databricks to OneLake, essential for enterprises with private network needs. While existing integrations lack full private network support, Fabric Pipelines now enable scalable, high-throughput copy with VNet Gateway or OPDG. Ideal for serving Databricks data to Fabric workloads without exposing it publicly.📌 NFL Combine IQ and Draft IQ: Delivering insights to millions with Amazon QuickSight: The NFL leveraged Amazon QuickSight and Amazon Q Business to build Combine IQ and Draft IQ, delivering real-time, AI-powered insights to over 1 million users. These dashboards democratize player analytics and draft predictions, offering dynamic visualizations, personalized team insights, and natural language querying, bringing professional-grade analysis directly to fans and scouts.📌 Streamline Amazon QuickSight dataset management: Dataset insights at a glance. Amazon QuickSight now offers a streamlined solution for managing datasets at scale. By automating metadata extraction via AWS Glue and visualizing it in a QuickSight dashboard, users gain real-time insights into SPICE usage, dataset health, access permissions, and duplication. This simplifies monitoring, improves SPICE planning, and boosts QuickSight admin productivity across regions.📌 Extending the Google Data Cloud lakehouse architecture: Google Cloud’s latest update advances its AI-powered open lakehouse with major innovations in performance, openness, and intelligence. Highlights include native Iceberg storage with BigLake, accelerated BigQuery and Spark engines, AI-native notebooks with Gemini assistance, and the Dataplex Universal Catalog for unified governance and metadata intelligence, empowering users to build scalable, AI-driven solutions across data types.📌 Enhancing BigLake for Iceberg lakehouses: Google Cloud has evolved BigLake into a fully managed, Apache Iceberg-native storage engine for building open, high-performance lakehouses. With native support for Iceberg tables in Cloud Storage and BigQuery, AI-powered governance via Dataplex, and seamless interoperability across engines like Spark, AlloyDB, and BigQuery, BigLake eliminates trade-offs between open standards and enterprise-grade performance.📌 BigQuery supports Apache DataSketches for approximate analytics: Google Cloud has integrated Apache DataSketches into BigQuery, enabling fast, approximate analytics on massive datasets. These lightweight, mergeable sketches deliver near-instant results for distinct counts, quantiles, and heavy hitters with low memory and compute. Ideal for real-time insights, DataSketches drastically reduce query time and cost while preserving accuracy and scalability.📌 Tableau Showcases Agentic Analytics, Tableau Next at Gartner BI Bake-Off: At the 2025 Gartner BI Bake-Off, Tableau showcased its agentic analytics vision through Tableau Next, highlighting AI as a human-centered assistant. Tableau Agent and Pulse simplify data prep, explain trends, and embed insights into workflows. Key innovation: the Pulse Research Agent uncovers the why behind data, enabling proactive, context-rich, and actionable decision-making at scale.📌 Alteryx Insider - May 2025 - Alteryx Community: Alteryx Inspire 2025 unveiled Alteryx One, a unified platform combining analytics, AI, and cloud with robust governance. The Spring Release introduced AI innovations like Magic Reports, Copilot, and GenAI tools to automate workflows. With on-demand keynotes, user groups, and AI-focused events, Alteryx empowers users to accelerate insights and modernize analytics at scale.*{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}#converted-body .list_block ol,#converted-body .list_block ul,.body [class~=x_list_block] ol,.body [class~=x_list_block] ul,u+.body .list_block ol,u+.body .list_block ul{padding-left:20px} @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}.reverse{display:table;width: 100%;