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Azure Data Factory Cookbook

Azure Data Factory Cookbook - Second Edition

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
Other Books You May Enjoy
14
Index

Creating a data factory using PowerShell

Often, we don’t have access to the UI and we want to create infrastructure as code. It is easily maintainable and deployable and allows us to track versions and have code commit and change requests. In this recipe, we will use PowerShell to create a data factory. If you have never used PowerShell before, you can find information about how to get PowerShell and install it onto your machine at the end of this recipe.

Getting ready

For this exercise, we will use PowerShell to create a data pipeline and copy our file from one folder to another.

How to do it…

Let’s create an ADF job using PowerShell:

  1. In the case of macOS, we can run the following command to install PowerShell:
    brew install powershell/tap/powershell
    
  2. Check that it is working:
    pwsh
    

    Optionally, we can download PowerShell for our OS from https://github.com/PowerShell/PowerShell/.

    ...
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Azure Data Factory Cookbook
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