-
Course
- Cloud
- Data
Creating Mapping Data Flows on Azure Data Factory
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.
What you'll learn
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.Â
Table of contents
- What Are Mapping Data Flows? | 7m 20s
- The Adventure Works Case Study | 1m 29s
- Setting up the Course Prerequisites | 8m 17s
- The Source Transformation | 3m 53s
- Source Transformation Settings | 6m 8s
- Working with the Source Transformation | 9m 47s
- The Sink Transformation | 5m 22s
- Data Flow Debugging | 3m 22s
- Working with Sinks | 9m 49s
- Module Summary | 57s
About the author
With over 20 years of experience on Microsoft infrastructure, data and collaboration software, Emilio Melo has a newly found passion and enthusiasm for the incredible potential of the cloud.
More Courses by Emilio