With Azure Data Factory Mapping Data Flow, you can create fast and scalable ondemand 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/enus/azur...
3. Helpful tips and samples
https://github.com/kromerm/adfdataflo...

Want to connect?
Blog https://marczak.io/
Twitter   / marczakio  
Facebook   / marczakio  
LinkedIn   / adammarczak  
Site https://azure4everyone.com