How to transform data using Data Flows

Learn how to transform data using Data Flows within Azure Data Factory. Data Flows are an no code/low code solution that allow us to connect to data sources, transform data then write that data to a data destination. In this video we cover what transformations are available within Data Flows, work through an example where we pick up a file, apply an aggregate transformation followed by a derived column transformation to change data types then another derived column transformation to add new columns and finally write that data to a database. 00:00 Introduction 01:20 Get started with Data Flows 02:50 Add a Data Source 04:10 Data Flow Transformations 05:45 DISTINCT/AGGREGATE Transformation 09:30 Derived Column Transformation - convert data types 13:20 Derived Column Transformation - add columns 17:00 Add sink and mapping 18:30 Add Data Flow to Pipeline 19:20 Trigger a Pipeline