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

Change Data Capture

The Change Data Capture (CDC) tool in Azure Data Factory enables real-time data synchronization by efficiently tracking and capturing only the changed data. It optimizes data integration workflows, reduces processing time, and ensures data consistency across systems. With built-in connectors and support for hybrid environments, CDC empowers organizations to stay up to date with analytics and reporting.

Getting ready

Before getting started with the recipe, log in to your Microsoft Azure account.

We assume you have a pre-configured resource group and storage account with Azure Data Lake Gen2, Azure Data Factory, and Azure SQL Database. To set these up, please refer to Chapter 1, Getting Started with ADF, and the Creating and executing our first job in ADF recipe.

  • In Azure SQL Database, you will need to have movielens CSV files to be loaded to the dbo schema with the following table name: dbo.movielens_ratings.
  • In Azure Data Lake Gen2...