With Azure Data Factory Mapping Data Flow, you can create fast and scalable on-demand transformations by using visual user interface. In just minutes you can leverage power of Spark with not a single line of code written.

In this episode I give you introduction to what Mapping Data Flow for Data Factory is and how can it solve your day to day ETL challenges. In a short demo I will consume data from blob storage, transform movie data, aggregate it and save multiple outputs back to blob storage.

Sample code and data: https://github.com/MarczakIO/azure4ev...

Next steps for you after watching the video
1. Azure Data Factory introduction video
-    • Azure Data Factory Tutorial | Introdu...  
2. Check mapping data flow documentation
- https://docs.microsoft.com/en-us/azur...
3. Helpful tips and samples
- https://github.com/kromerm/adfdataflo...

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