BI Developers looking to move ETL processes to Azure
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. In this session we’ll look at Azure Data Factory v2 and how it integrates with Azure Data Bricks to produce a powerful abstraction over the Apache Spark analytics ecosystem. Now we can transform data in Azure using Data Bricks but without the need to write a single line of Scala or Python! If you haven’t used either service yet, don’t worry, you’ll get a quick introduction to both before we go deeper into the new ADF Data Flow feature.
Why I Want to Present This Session:
Data Factory Data Flow is exactly the tool we’ve been missing in Azure for a long time now. I want to spread the word about this great cloud native tech.
Latest posts by Paul Andrew (see all)
- ETL in Azure made easy with Data Factory Data Flow - September 24, 2018
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