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)

Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services

When your business needs to move data between cloud providers, Azure Data Factory presents a convenient and robust interface for this task. Microsoft provides connectors to integrate the data factory with multiple third-party services, including Amazon Web Services (AWS) and Google Cloud. In this chapter, we will walk though several illustrative examples on migrating data from these two cloud providers. In addition, you will learn how to use Azure Data Factory's Custom Activity to work with providers who are not supported by Microsoft's built-in connectors.

In this chapter, we will cover the following recipes:

  • Copying data from Amazon S3 to Azure Blob storage
  • Copying large datasets from S3 to ADLS
  • Copying data from Google Cloud Storage to Azure Data Lake
  • Copying data from Google BigQuery to Azure Data Lake Store
  • Migrating data from Google BigQuery to Azure Synapse
  • ...