Archives: Events

Mirror and Modernize: Bringing Operational and Analytical SQL Workloads Together in Fabric
Events

Join this session to explore how Microsoft Fabric Mirroring enables real-time data replication. We’ll demonstrate how to leverage mirroring in Fabric to enable real-time data replication from operational databases into OneLake, unlocking instant insights. Also, discover how you can modernize on-premises SQL workloads into Fabric SQL. Learn how to modernize legacy data platforms to Fabric,… READ MORE

Talk to Your Data – Unlocking the Power of Azure AI Foundry and Fabric Data Agents
Events

Imagine asking your enterprise data questions in plain English – and receiving not just numbers or visuals, but full narrative reports and professional-level analyses. Sounds futuristic? With Azure AI Foundry Agents and Microsoft Fabric Data Agents, it’s already happening. In this session, we’ll explore how conversational data access becomes reality using the new Fabric-integrated Agents… READ MORE

What’s new in Fabric capacities and capacity monitoring
Events

Capacities are the foundation for all Microsoft Fabric workloads. This session will provide an overview of what’s new in Fabric capacities. In this session, you will learn about: Surge protection (at more granular levels) to help you get ahead of capacity outages Improvements to monitoring and observability in capacity metrics, including features to help you… READ MORE

Navigating the journey from Excel to Fabric (and back again!)
Events

For decades, the entire business world has been built on the flexibility and power of spreadsheets. From rocket science to credit derivatives, a mind that could imagine it could implement it with nothing more than Excel formulas and cell references.  But over time this has resulted in siloed, manual processes in “Shadow IT” where some… READ MORE

Scaling and Protecting Data Engineering in Fabric: Best Practices for Success
Events

Ready to take Fabric Spark to production? This session will equip you with the tools, strategies, and best practices needed to confidently deploy Data Engineering workloads in real-world, large-scale environments. Learn how to orchestrate complex pipelines, tackle common scaling challenges, and achieve peak price-performance. Whether you’re preparing for go-live or optimizing an existing workload, you’ll… READ MORE