Ci Zhu @CZ_GuildBuild

Power BI's new Modern Visual Defaults are quietly rolling out — and they're more than cosmetic. Here's what changed: • Fluent 2 design language • Standardized spacing + subtitle support • Clean grey canvas background Seems minor, but here's why it matters for BI teams: 1. Report consistency — no more patching styles after exports 2. Fluent alignment — matches the Microsoft 365 ecosystem your stakeholders already use 3. Subtitles = better UX — context without clutter If you're still on old .pbix files, now's the time to plan the migration. #PowerBI #MicrosoftFabric #Design

FabCon 2026 recap time. One announcement that flew under the radar: Database Hub is coming to Fabric. What it means: → One place to manage Azure SQL, Cosmos DB, PostgreSQL, MySQL, SQL Server, AND Fabric databases → No more jumping between services to see your data landscape → Finally a unified view for hybrid cloud + on-prem data This is the missing piece for enterprise data governance. The dev experience improvements (Git integration, branched workspaces) are also huge for teams doing CI/CD. What are you most excited about from FabCon? #MicrosoftFabric #FabCon2026 #DatabaseHub

FabCon 2026 dropped some serious updates: Fabric Data Agents are now GA 👋 That's AI-powered virtual analysts BUILT INTO your data platform. Not a separate product. Not an add-on. Built in. The implications: → Natural language data exploration for end users → Automated anomaly detection in your pipelines → Self-healing data quality Most companies are still treating "AI" and "data" as separate projects. Fabric's making them one thing. What's your data agent strategy? #MicrosoftFabric #DataAgents #FabCon2026

Holy. This is HUGE.

Shopify @Shopify

4 months ago

the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more

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Quick take from today's r/MicrosoftFabric scan: The VS Code + Fabric setup question comes up constantly. Teams want proper dev workflows but the path isn't clear. Here's what a serious Fabric dev stack looks like: • VS Code + Fabric extension • Git + GitHub for version control • Fabric CLI for automation • fabric-cicd for deployments The good news: it's just standard developer tools. If you've done dev work before, Fabric development is just Azure APIs with a better UI. What's your current dev workflow for Fabric?

Hot take on Microsoft Fabric this week: Data Agents just became generally available. That means AI-powered data processing is now BUILT INTO Fabric — not a separate ML platform you have to manage. Most companies are still treating AI and data as separate problems. Fabric is proving they're the same problem. The teams winning right now? They're architecting for this convergence. What's your data + AI stack looking like? #MicrosoftFabric #DataEngineering #AI

@elonmusk the number of letters in a "short form" has exceeded "non-straight"...

Hot take: The Alteryx → Microsoft Fabric migration wave is just starting. With Alteryx acquisition uncertainty and Fabric's new Data Flow Gen2 with AI capabilities, companies are re-evaluating their data transformation stack. The opportunity: - Legacy ETL to Fabric modernization - Notebook-heavy pipelines → SQL-native transformations - Cost optimization from per-core licensing What's stopping your team from exploring Fabric for data transformations? 🤔 #MicrosoftFabric #DataEngineering #ETL

The medallion architecture (Bronze → Silver → Gold) is the gold standard for Lakehouse design. But building it has meant complex Spark pipelines or expensive ETL tools. With Fabric's Materialized Lake Views now GA, you can define Bronze → Silver → Gold transitions in pure SQL. Automatic orchestration. Built-in data quality constraints. Direct Lake performance for Power BI. For teams deep in T-SQL, this is the missing piece. What's your biggest challenge with Lakehouse pipelines? 👇 #MicrosoftFabric #DataEngineering #Lakehouse

Big news from #MicrosoftFabric: Data Agents are now generally available! 🤖 These AI-powered agents can autonomously explore your data, identify anomalies, and generate insights - marking a shift from passive analytics to active intelligence. Key capabilities: → Real-time anomaly detection → Automated insight generation → Direct integration with Fabric's unified data layer This is Fabric evolving from a data platform to an active decision-making partner. #Azure #DataEngineering #AI

Big news: Microsoft 365 Copilot is now $30/user/month for businesses. Here's what this means: ✅ Same price as ChatGPT Team ✅ Already integrated into M365 apps ✅ Enterprise-grade security The real value isn't Copilot itself - it's knowing HOW to implement it. Most companies struggle with: • Which workflows to automate • Data governance for AI • Change management That's where consulting firms add value. What's your AI implementation priority this year? 👇 #Microsoft365 #Copilot #AI

The shift from single AI tools to multi-agent systems is redefining enterprise automation. What we're seeing in the field: 🔹 Multiple specialized agents working together 🔹 Microsoft Copilot now runs multi-model workflows (GPT + Claude collaborating) The pattern clients ask about most: "How do I automate the boring stuff?" AI agents excel at: • Updating CRMs automatically • Running repetitive approval workflows • Generating reports from multiple sources Start with ONE problem, not ten. What's your biggest workflow pain point? 👇 #AI #Automation #MicrosoftCopilot

📊 Microsoft Fabric April Update - What's Now GA Big news for data teams: ✅ Copilot in Fabric - now for everyone ✅ Shortcut Transformations - auto Delta tables in OneLake ✅ AI Functions in SQL - T-SQL meets AI ✅ SAP/Oracle Mirroring - real-time replication Why it matters: Microsoft is closing the gap between data engineering and AI. Your SQL skills just became AI skills. Which feature are you most excited about? 👇 #MicrosoftFabric #DataEngineering #AI

The visual guides are gold for the community. At GuildBuild, we see clients struggling to pick the right model for their use case - Gemma's on-device capability is a game changer for cost-sensitive AI projects. The multimodal approach (text + images + audio) is where enterprise AI is heading.

Great resource! At GuildBuild, we help teams implement these patterns on Azure. The shift from fragmented tools to unified platforms like Lakeflow is exactly what we advise clients on. Row-level lineage observability is often overlooked until production issues hit. Would love to connect with anyone navigating these decisions.

Exciting news coming soon from GuildBuild! We're building a team of talented adventurers to solve your toughest data and AI challenges. Stay tuned for updates! #MicrosoftPartner #Azure #DataEngineering #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️

The importance of data keeps growing every day. The integration of user profile and data, the seamless migration from one SaaS to another, one AI model to another is the next BIG thing.

🔴 VS Code Live - MCP Apps are live! x.com/i/broadcasts/1…

A sole prop Microsoft Partner, One-man Army with MCSE in Data Management & Analtyics, Data Engineering, Azure, BI, AI, you name it. AMA. #Microsoft #Azure #ArtificialIntelligence

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