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

Setting up an HDInsight cluster

HDInsight is a comprehensive solution based on a diverse list of open source platforms. It includes Apache Hadoop, Apache Spark, Apache Kafka, Apache HBase, Apache Hive, Apache Storm, and so on. Solutions based on HDInsight can be integrated with ADF, Azure Data Lake, Cosmos DB, and so on.In this section, we will set up the HDInsight service, build a basic pipeline, and deploy it to ADF.

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.

How to do it…

We will go through the process of creating an HDInsight cluster using the Azure portal and its web interface. Follow these instructions:

  1. Create a user-assigned managed identity. We will need it in the next step, to set up HDInsight cluster access to Data Lake v2. Find Managed Identities in Azure and click +Add.
  2. Fill in the appropriate details, such as Resource...