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In this Episode, I interview Kristyna Ferris about the different types of data Movement in Microsoft Fabric. Specifically, we talk about gen 2 dataflows, data pipelines, and Spark notebooks. We see how you start simple and work your way up. Kristyna shares the "faucets first" approach at P3 adaptive.

Links

• Yak shaving
• Rapid development
• Datatypes in Fabric Data Warehouse
• VARCAHR(MAX) preview
• Microsoft decision guide
• Semantic Link - Sempy
• Power Bi file import benchmarks
• Semantic Link Labs
• Data on Wheels blog