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Why developers are turning to MCP for scalable, secure, and intelligent solutionsAdvertise with Us|Sign Up to the Newsletter @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }WebDevPro #104: The Model Context Protocol Is Changing How We Build AI-Driven Web AppsWhy developers are turning to MCP for scalable, secure, and intelligent solutions and how to get started todayHi ,Welcome to WebDevPro #104.We have all seen the impressive AI demos. Assistants that can code, summarize, plan, and collaborate almost like a teammate.But connecting them to your real systems, your APIs, databases, or business tools often turns into a mess of brittle integrations and hardcoded workflows. Adding new features can feel like starting over.A new approach is changing that. The Model Context Protocol (MCP) is redefining how AI-powered apps discover, connect to, and use capabilities. It makes them more scalable, secure, and adaptable. It is not another SDK or framework. It is a way for tools and AI systems to work together as naturally as people do.On August 30, join Christoffer Noring, Sr. Cloud Advocate at Microsoft, for a hands-on workshop where you will learn how to build and deploy with MCP. You will leave not just knowing what it is but with your own working implementation.What Exactly Is MCP?The Model Context Protocolis like a universal plug for AI.Right now, most AI assistants live in their own bubble. They can reason well, but they can’t easily reach into your tools, databases, or services without custom, one-off integrations. That means every new data source or capability often means starting from scratch.MCP fixes that by giving developers a single, open standard for connecting AI systems to the outside world. With MCP, you can securely expose capabilities (like “generate an invoice” or “pull customer history”) in a way that any compatible AI client, from an LLM-powered app to a VS Code agent, can discover and use instantly.Think of it as a USB-C port for AI: one connection that works for everything, whether you’re plugging into a CMS, an API, or a cloud service. The result? AI assistants that are faster to build, easier to maintain, and able to do more in the real world.Real-World Use CasesSo what does MCP actually look like in action? Here are a few places where it can make an immediate impact:E-commerce that responds in real time: An AI shopping assistant can pull live product data from your inventory, check shipping status, and even trigger a reorder all by calling MCP capabilities you’ve exposed.Developer tools that work across systems: A VS Code agent could refactor your code, query API documentation, check deployment logs, and open a support ticket without you building a separate connector for each action.AI helpdesk that actually solves problems: A support bot could securely access customer history, issue refunds, and schedule callbacks, all by discovering and using MCP tools without manual setup.In each of these scenarios, MCP makes the connection once and lets it be reused anywhere. Once you’ve set up a capability, any MCP-aware client can find it, understand it, and use it. That’s why more developers are starting to see MCP not as another integration layer, but as a foundation for AI-ready applications.Putting MCP into PracticeUnderstanding the principles behind the Model Context Protocol is one thing. Turning those ideas into a functioning client–server setup is another. This is where the real value of MCP comes alive.If you’re ready to go beyond reading about MCP and actually build something you can use, join our focused 2.5-hour workshop on August 30th with Christoffer Noring (Sr. Cloud Advocate, Microsoft).As a bonus, you can grab your spot at 35% off with the code LIMITED35. But act fast, this special deal disappears on Monday, 18th August.Save your spot at 35% OFFIn one session, you’ll:Understand the “why” behind MCP: Learn how separating tools from LLMs makes AI systems more scalable, maintainable, and adaptable.Master the core architecture: See exactly how MCP clients and servers discover and communicate with each other.Build and deploy your first MCP server: Code along in Python, guided by Christoffer, and test it with a working MCP client.Connect MCP to real-world systems: Securely expose and consume capabilities from APIs, databases, or cloud services.Your Workshop Package Includes: Free eBook: Model Context Protocol for Beginners (worth $35.99) — full of real-world examples and tips.Exclusive AMAs: Small-group Q&A with Christoffer to troubleshoot and go deeper.Certificate of Completion to showcase your new skills.After this workshop, you’ll be able to:Decide if MCP is right for your AI projects.Build both MCP servers and clients from scratch.Create LLM-powered clients that instantly discover and use MCP capabilities.Who This Is ForThis is for anyone building AI-powered tools or agentic apps:Web developers who want to integrate agents, tools, or LLMs without reinventing server designSoftware architects rethinking interoperability, modularity, and contextAI engineers building structured, scalable, and secure infrastructure for agentsProduct managers working on AI initiatives and looking for a scalable reference architectureReady to Get Started?👉 Reserve your seat in the MCP Workshop (Second Cohort) at 35% OFF👉 Buy the book: Model Context Protocol for BeginnersYou’ll walk away with a better understanding of how to structure your systems, interact with tools programmatically, and deploy AI-native web applications with confidence.See you at the workshop!Kinnari Chohan,Editor-in-chiefSUBSCRIBE FOR MORE AND SHARE IT WITH A FRIEND!*{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}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Tableau Content Management and Migrations, Microsoft OneLake with AzCopy 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; } Unpack critical strategies to protect patient data and ensure operational continuity... When it comes to cyberattacks, prevention is no longer enough. You must assume breach - but that doesn't mean that you can't fight back. With the right strategies and technologies in place, you can maintain patient care even during cyber attacks. Building a resilient cyber strategy has never been more important. Join us virtually for Rubrik’s Healthcare Summit on September 10th to gain vital insights into the challenges facing organizations and the future of cybersecurity in healthcare. Leaders like John Riggi, the National Advisor for Cybersecurity and Risk, American Hospitals Association will cover critical topics including: Day Zero: Navigating the Aftermath: Immediate steps post-cyberattack, exploring new recovery approaches beyond traditional methods. From Crisis to Continuity with the Minimum Viable Hospital: Learn to define and rapidly restore core applications critical for patient care continuity. Rubrik for Healthcare: Discover modern cyber resilience capabilities, including automated ransomware recovery and rapid data restoration. We’ll unpack all this and more in the Healthcare Summit on September 10. Save your spot now. Save Your Spot SponsoredSubscribe|Submit a tip|Advertise with usWelcome to BIPro #109 - where the future of data-driven insights takes center stage.This edition spotlights the tools, trends, and techniques transforming how organizations harness analytics. Explore AI-powered intelligence with Looker MCP Server, master Microsoft Fabric and Power BI updates, and dive into real-world transformations with zero-ETL pipelines, Data Mesh adoption, and QuickSight automation. We also bring you practical hacks for instant impact, from secure OneLake transfers to scoring with limited data, and expert perspectives on database choices, transaction scaling, and data hygiene. Whether you’re optimizing BI workflows or building next-gen analytics, there’s something here to accelerate your insights.Key highlights:Looker MCP ServerFabric July 2025 Feature SummaryPower BI August 2025 FeaturesTranslytical Task Flow ContestZero-ETL from Amazon RDS to RedshiftCheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights🔸Introducing Looker MCP Server: Looker just made AI-powered insights a lot smarter and safer. With the new MCP Server, AI apps can tap directly into trusted, governed data, no SQL required. That means accurate, up-to-date answers, tighter security, faster AI app development, and seamless integration with tools like Gemini-CLI and Claude Desktop.🔸 Fabric July 2025 Feature Summary: This July 2025 Fabric Feature Summary highlights major events like the Microsoft Fabric Community Conference and Power BI’s 10th anniversary, platform updates such as domain tags and smarter OneLake catalog categories, and data science innovations including Fabric Data Agent integration with Microsoft Copilot Studio, streaming results, and improved agent execution for faster, more precise insights.🔸 Power BI August 2025 Feature Summary: The Power BI August 2025 Feature Summary highlights major updates across Copilot, AI, reporting, modeling, and connectivity. Key developments include Copilot integration for SharePoint Online, automated measure descriptions, advanced semantic modeling, enhanced data connectivity, simplified developer workflows, and new visualization options, all designed to improve productivity, interactivity, and data-driven insights.🔸 Introducing the translytical task flow contest: If you’re someone who loves turning insights into action, this is for you. Join the Translytical Task Flow Contest in Microsoft Fabric! Build a task flow with UDFs to automate alerts, enrich data, or trigger workflows from your reports. Get featured in the Gallery. Entry: Aug 4–29.🔸 Choosing the Right Tool for Your Tableau Content Management and Migrations: This is a guide on choosing the right Tableau migration tool. It explains the differences between the Migration SDK, Cloud Migration App, and Content Migration Tool, and advises which to use based on your environment size, technical skills, and whether you’re moving content Server-to-Cloud, Server-to-Server, or Cloud-to-Cloud.🔄 Real-World Transformation: How Gen BI Made Data Work🔸 Simplifying Data Ingestion with Copy job – Reset Incremental Copy, Auto Table Creation, and JSON Format Support: Microsoft Fabric Data Factory’s Copy Job just got smarter and more efficient. Updates include per-table reset for incremental copy, automatic creation of destination tables, support for JSON file formats, and instant access to connection details, enhancements designed to streamline workflows, reduce manual effort, and make data movement faster and smoother.🔸 Data Mesh Diaries: Realities from EarlyAdopters: This is about the real-world experiences and challenges faced by organizations that are early adopters of Data Mesh, highlighting practical issues like defining data products, securing leadership support, handling growing pains, addressing existing process gaps, and navigating organizational and technical constraints during adoption.🔸 Amazon QuickSight BIOps: Assets deployment using APIs: This post explains how to automate Amazon QuickSight BI asset deployment across accounts and environments using APIs. It covers cross-account promotion, conflict resolution, permission management, and environment-specific configurations, highlighting Assets-as-Bundle and Describe-Definition APIs for scalable, programmatic, and version-controlled BI operations, minimizing manual effort and errors.🔸 Short query optimizations in BigQuery advanced runtime: BigQuery’s short query optimizations accelerate small, frequent BI queries by consolidating them into a single, efficient stage. Leveraging enhanced vectorization, dictionary/RLE encoding, and history-based optimization, they reduce CPU, memory, and network use. Results include 2x–8x faster execution, up to 9x fewer slot-seconds, and 3x higher throughput for join and aggregation queries.⚡ Quick Wins: BI Hacks for Instant Impact🔸 Load data from network-protected Azure Storage accounts to Microsoft OneLake with AzCopy: AzCopy now supports loading data from firewall-enabled Azure Storage accounts into Microsoft OneLake using trusted workspace access. By creating a workspace managed identity and granting it firewall access, AzCopy jobs can securely and efficiently transfer data without extra configuration. This enables seamless, high-performance data movement into OneLake.🔸 Estimating from No Data: Deriving a Continuous Score from Categories. This article explains how to derive a continuous risk score from categorical outcomes using low-capacity neural networks. By combining a simple linear “encoder” with a trainable category-approximator “head,” the model learns thresholds for each category, producing a meaningful, fine-grained score despite only having coarse categorical labels for training.🔸 “I think of analysts as data wizards who help their product teams solve problems”A data science professional shares their journey from software engineering to product analytics, highlighting curiosity-driven exploration of agentic AI, simulations for decision-making, and bridging engineering with analytics. They emphasize rigorous evaluation for production-ready LLMs, continuous learning, and using a broad toolkit to solve complex problems efficiently and reliably.🔸 A Guide to Cleaning and Validating Messy Data: This guide explains building a data sanitization pipeline to clean, validate, and monitor unstructured inputs. It covers incremental steps: gathering raw data, normalizing formats, enforcing sanitization rules, validating with third-party APIs, and implementing monitoring/alerts. The approach ensures data integrity, reduces costs, and supports reliable downstream decisions in real-world systems.🎤 Voices of BI: Lessons from Industry Experts🔸 Database Choices for Real-World Applications Cheat Sheet: This article explains how to choose the right database for software systems by evaluating data structure, query patterns, and scalability. It compares SQL, NoSQL, and specialized databases, outlines common use cases like caching, search, and analytics, and emphasizes multi-database approaches to ensure performance, reliability, and efficiency in real-world applications.🔸 Announcing Extended Support for Amazon DocumentDB (with MongoDB compatibility) version 3.6: This post explains that Amazon DocumentDB version 3.6 will reach end of standard support on March 30, 2026, after which Extended Support is available until 2029. It outlines upgrade benefits to version 5.0, including scalability, security, and serverless features, and details three upgrade methods, in-place, AWS DMS, or mongodump/mongorestore, helping customers plan a smooth migration.🔸 Scaling transaction peaks: Juspay’s approach using Amazon ElastiCache. Juspay transformed payment processing with Amazon ElastiCache and Amazon RDS for MySQL, handling 7.6 million transactions per hour at sub-millisecond latency. Using a memory-first, write-back, and CQRS architecture, Juspay scaled elastically for traffic spikes, reduced costs by 80%, maintained data consistency, and achieved 99.99% availability across global markets.🔸 Simplify data integration using zero-ETL from Amazon RDS to Amazon Redshift: The blog explains how AWS zero-ETL integration enables near real-time analytics by replicating data from Amazon RDS (MySQL or PostgreSQL) to Amazon Redshift. It eliminates complex ETL pipelines, reduces operational overhead, and allows organizations to immediately analyze transactional data for AI, ML, and business insights, all through a fully managed setup.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}} * { -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; }