Book Image

Azure Data Factory Cookbook - Second Edition

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4 (1)
Book Image

Azure Data Factory Cookbook - Second Edition

4 (1)
By: Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton

Overview of this book

This new edition of the Azure Data Factory book, fully updated to reflect ADS V2, will help you get up and running by showing you how to create and execute your first job in ADF. There are updated and new recipes throughout the book based on developments happening in Azure Synapse, Deployment with Azure DevOps, and Azure Purview. The current edition also runs you through Fabric Data Factory, Data Explorer, and some industry-grade best practices with specific chapters on each. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines, as well as discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premises infrastructure with cloud-native tools to get relevant business insights. You'll familiarize yourself with the common errors that you may encounter while working with ADF and find out the solutions to them. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF with its latest advancements as the main ETL and orchestration tool for your data warehouse projects.
Table of Contents (15 chapters)
13
Other Books You May Enjoy
14
Index

Chaining and branching activities within a pipeline

In this recipe, we shall build a pipeline that will extract the data from the CSV files in Azure Blob Storage, load this data into the Azure SQL table, and record a log message with the status of this job. The status message will depend on whether the extract and load succeeded or failed.

Getting ready

We shall be using all the Azure services that are mentioned in the Technical requirements section at the beginning of the chapter. We shall be using the PipelineLog table and the InsertLogRecord stored procedure. If you have not created the table and the stored procedure in your Azure SQL database yet, please do so.

How to do it…

  1. In this recipe, we shall reuse portions of the pipeline from the Using parameters and built-in functions recipe. If you completed that recipe, just create a clone of that pipeline and name it as pl_orchestration_recipe_4. If you did not, go through steps 1-10 and create a parameterized pipeline.
  2. Observe...