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
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14
Index

Introduction to the Azure data platform

The Azure data platform provides us with a number of data services for databases, data storage, and analytics. In Table 1.1, you can find a list of services and their purpose:

Figure 1.1: Azure data platform services

Using Azure data platform services can help you build a modern analytics solution that is secure and scalable. The following diagram shows an example of a typical modern cloud analytics architecture:

Figure 1.2: Modern analytics solution architecture

You can find most of the Azure data platform services here. ADF is a core service for data movement and transformation.

Let’s learn more about the reference architecture in Figure 1.1. It starts with source systems. We can collect data from files, databases, APIs, IoT, and so on. Then, we can use Event Hubs for streaming data and ADF for batch operations. ADF will push data into Azure Data Lake as a staging area, and then we can prepare data for...