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Data Engineering Foundations in Microsoft Fabric
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๐ฏ The Problem: You have a shiny new Fabric capacity, but where do you even start? Lakehouse? Warehouse? Dataflows? The Microsoft documentation is 500+ pages, and every blog post assumes you already know the basics.
๐ก This Evening: In 90 minutes, we'll show you the 4 essential building blocks of data engineering in Fabric - with live demos and the design decisions Microsoft made (and why they matter for YOUR architecture).
โฑ๏ธ Save yourself: 2-3 weeks of trial and error. We've compressed 4 weeks of Fabric Friday content into one power session.
What you'll learn:
๐ Lakehouse Architecture - Delta Lake\, Medallion Pattern\, and WHY the SQL endpoint is read-only by design
๐ OneLake Shortcuts - Multi-cloud data access without copying\, and WHY internal vs external shortcuts differ
๐ Fabric Notebooks - Code-first data engineering\, and WHY %%python vs %%pyspark matters for performance
๐ Dataflow Gen2 - Power Query at enterprise scale\, and WHY staging is the secret weapon
Demos:
- Build a Lakehouse with Medallion Architecture
- Connect external S3/ADLS data with Shortcuts
- Transform data with both Notebooks AND Dataflows
- Compare: When to use which tool
Who should attend: Data Engineers, BI Developers, Solution Architects Agenda:
- 18:30 - Welcome & Networking
- 18:45 - Lakehouse & Shortcuts (Theory + Demo)
- 19:15 - Notebooks & Dataflows (Theory + Demo)
- 19:45 - Decision Framework: When to Use What
- 19:55 - Q&A and Discussion
- 20:00 - Networking & Drinks
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