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Azure Data Factory Cookbook

Azure Data Factory Cookbook

By : Dmitry Foshin, Tonya Chernyshova, Dmitry Anoshin, Xenia Ireton
4.9 (29)
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Azure Data Factory Cookbook

Azure Data Factory Cookbook

4.9 (29)
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)
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13
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14
Index

Creating an ADX cluster and ingesting data

In this recipe, we will create an ADX instance in the Azure portal and ingest the sample Storm Events data using the ADX UI.

Getting ready

In this recipe, we will create an ADX cluster; we will be using these in future recipes for Data Factory pipelines.

How to do it...

  1. Go to the Azure portal at https://ms.portal.azure.com/.
  2. Find Azure Data Explorer Clusters.
  3. Click Create.
  4. In the first tab, we need to fill in the Subscription, Resource group, Cluster name, Region, and Workload fields:

    Figure 11.3: Creating an ADX cluster

    Microsoft provides us a cheap workload option for testing and prototyping – Dev/test. Running production workloads in ADX is expensive and will easily burn all your free credits.

  1. Next, click on Review + create and, after some quick validation, we can click Create.
  2. When the creation is complete, click on Go to Resource and it will open the ADX...
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