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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

Join the Fabric Data Days Monthly Sessions- https://aka.ms/fdd/monthly

Related topics

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Data Analytics
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