ETL in Azure Made Easy with Data Factory Data Flows

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What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
Speaker BIO: Microsoft Data Platform MVP. 10+ years’ experience working with the complete on premises SQL Server stack. Now working as a principal consultant and solution architect dealing with data platform deliveries in Azure.

Tags: Developing,Cloud,Databricks,Spark,Azure Data Factory,Data transformation and integration,Azure Databricks
  1. SQLBits
  2. Azure Data Factory
  3. Azure Databricks
  4. Cloud
  5. Data transformation and integration
  6. Databricks
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Another possibilities for power bi users is to use power bi dataflow with their one data lake and save to their own datalake. PPU license opened interesting scenarios!

SilvanoPaxia