Preface

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Cookbook, Second Edition 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 discover the benefits of cloud data warehousing, Azure Synapse Analytics, Azure Data Lake Storage Gen2, and Databricks, which are frequently used for Big Data Analytics. Through 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.

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 guide you in using 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.

Additionally, there is also a focus on the latest cutting-edge technology in Microsoft Fabric. You’ll explore how this technology enhances its capabilities for data integration and orchestration.

By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse and data platform projects.