Azure Data Factory by Example: Practical Implementation for Data Engineers

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

R. SwinbankAzure Data Factory by Examplehttps://doi.org/10.1007/979-8-8688-0218-8_6

6. Controlling Flow

Richard Swinbank¹  

(1)

Tewkesbury, UK

 

In Chapter 4, you began building ADF pipelines containing more than one activity, controlling their order of execution using activity dependencies configured between them. Activity dependencies are among a range of tools available in ADF for controlling a pipeline’s flow of execution.

Chapter 5 introduced the Execute Pipeline activity, enabling one pipeline to trigger the execution of another. The ability to do this is fundamental to the orchestration of large ETL workflows, allowing them to be composed of smaller, more ...