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Pluralsight

Creating Mapping Data Flows on Azure Data Factory

via Pluralsight

Overview

Data Engineering is one of the hottest topics on IT right now. The velocity, volume, and variety of data nowadays  require skills beyond just traditional ETL. ​This course will  teach you​ how to work with mapping data flows on Azure  Data Factory.

Nowadays, data is everywhere, and companies are increasingly interested in transforming this data into insights that can help them become more efficient and productive. In this course,​ Creating Mapping Data Flows on Azure Data Factory, ​you’ll learn to​ use mapping data flows to perform transformations on ADF. ​First, you’ll explore​ simple data flow operations such as sorts, filters, and derived columns. Next, you’ll discover​ options for joining, aggregating, and splitting data. ​Finally, you’ll learn how to​ perform additional operations such as exists and lookups. ​When you’re finished with this course, you’ll have the skills and  knowledge of​ mapping data flows ​needed to​ perform transformations on Azure Data Factory. 

Syllabus

  • Course Overview 1min
  • Mapping Data Flows Definition 56mins
  • Simple Mapping Data Flow Operations 31mins
  • Working with Multiple Data Streams 44mins
  • Additional Data Flow Operations 51mins

Taught by

Emilio Melo

Reviews

4.7 rating at Pluralsight based on 33 ratings

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