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.
Table of contents
- What Are Mapping Data Flows? 7m
- The Adventure Works Case Study 1m
- Setting up the Course Prerequisites 8m
- The Source Transformation 4m
- Source Transformation Settings 6m
- Working with the Source Transformation 10m
- The Sink Transformation 5m
- Data Flow Debugging 3m
- Working with Sinks 10m
- Module Summary 1m
- The Lookup Transformation 7m
- Integration Runtimes and Data Flows 5m
- Working with Lookups 7m
- The Conditional Split Transformation 3m
- Working with Conditional Splits 4m
- The Exists Transformation 4m
- The Union Transformation 5m
- The Join Transformation 8m
- The New Branch Transformation 2m
- Module Summary 1m
- The Aggregate Transformation 5m
- The Rank Transformation 6m
- The Surrogate Key Transformation 3m
- The Alter Row Transformation 2m
- Working with Alter Row 7m
- The Window Transformation 5m
- The Parse Transformation 5m
- The Flatten Transformation 4m
- The Pivot Transformation 2m
- Working with Pivots 7m
- The Unpivot Transformation 4m
- Module Summary 1m