Microsoft Reactor London

In a world of multiple tools and endless data sources, how do you design the right integration strategy in Microsoft Fabric?

Join us for a live demo-driven session that breaks down the real-world patterns, use cases, and best practices for landing, transforming, and orchestrating data in Microsoft Fabric.

Whether you're working with a Lakehouse, Data Warehouse, Eventhouse, or SQL Database, this session gives you the playbook to select and combine the right tools for the job.

We'll walk through:

• Landing data using Data Pipelines, OneLake shortcuts, and external connections
• Transforming and cleaning data using Notebooks (Spark) for scale and flexibility
• Business logic and last-mile transformation using Dataflows Gen2
• How to orchestrate it all using Fabric Data Pipelines for repeatable, maintainable workflows
• When and why to land your data into Lakehouses, Data Warehouses, Eventhouses, or SQL endpoints

You'll walk away with:

• A clear understanding of which tools to use when across the Fabric integration stack
• A working knowledge of how to combine multiple integration techniques in one solution
• Architecture patterns and decision criteria for building scalable data landing zones

Live demos you can replicate to accelerate your own Fabric journey

In this three-part series, we're showing you how to host your own agents on Microsoft Foundry.

In our second session, we'll deploy agents built with the popular open-source libraries LangChain and LangGraph. Starting with a simple agent, we'll add Foundry tools like Bing Web Search, ground the agent in Foundry IQ, then deploy more complex agents using the LangGraph orchestration framework.

Along the way, we'll use the Foundry UI to interact with the hosted agent, testing it out in the playground and observing the traces from the reasoning and tool calls.

All code samples will be open-source and ready for easy deployment to your own Microsoft Foundry using the Azure Developer CLI.