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 1: Getting Started with ADF

Microsoft Azure is a public cloud vendor. It offers different services for modern organizations. The Azure cloud has several key components, such as compute, storage, databases, and networks. They serve as building blocks for any organization that wants to reap the benefits of cloud computing. There are many benefits to using the cloud, including utilities, metrics, elasticity, and security. Many organizations across the world already benefit from cloud deployment and have fully moved to the Azure cloud. They deploy business applications and run their business on the cloud. As a result, their data is stored in cloud storage and cloud applications.

Microsoft Azure offers a cloud analytics stack that helps us to build modern analytics solutions, extract data from on-premises and the cloud, and use data for decision-making progress, searching patterns in data, and deploying machine learning applications.

In this chapter we will meet Azure Data...