Book Image

Azure Data Factory Cookbook

By : Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton
Book Image

Azure Data Factory Cookbook

By: Dmitry Anoshin, Dmitry Foshin, Roman Storchak, Xenia Ireton

Overview of this book

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. 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 as the main ETL and orchestration tool for your data warehouse or data platform projects.
Table of Contents (12 chapters)

Deploying your features into the master branch

Now that we have covered how to publish changes from the master branch to Data Factory, we are going to look at how to deploy new branches into the master branch. There are several reasons for creating new branches. While implementing new changes to your project, it is a common practice to create a feature branch, develop your changes there, and then publish them to the master branch. Some teams working in an Agile environment can create branches per story development. Other teams may have branches per developer. In all these situations, the main purpose is to avoid breaking changes during the release into the production environment.

Getting ready

Before we start, please ensure that you have an Azure license and are familiar with the basics of Azure resources such as the Azure portal, creating and deleting Azure resources, and creating pipelines in ADF. Also, you will need an Azure DevOps project created and linked to your ADF.

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