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

Publishing changes to ADF

Collaboration on code development involves using Git. In this recipe, you will learn how to create an ADF pipeline in Azure DevOps Git and publish changes from your master branch to ADF.

Getting ready

Before we start, please ensure that you have an Azure subscription and are familiar with the basics of Azure resources, such as navigating the Azure portal, creating and deleting Azure resources, and creating pipelines in Azure Data Factory (ADF).

Additionally, you will need an Azure DevOps project created and linked to your ADF. If you haven’t set up this connection yet, you can refer to the preceding recipe, titled Setting up Azure DevOps, for step-by-step instructions on how to do so.

How to do it...

We are going to create a new ADF pipeline in the master branch of Azure DevOps Git and publish the changes to Data Factory:

  1. Create a new ADF pipeline with the Wait activity in the master branch. Please refer to Chapter 2...