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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781803246598
Length 532 pages
Edition 2nd Edition
Tools
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Authors (4):
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Tonya Chernyshova Tonya Chernyshova
Author Profile Icon Tonya Chernyshova
Tonya Chernyshova
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
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Toc

Table of Contents (15) Chapters Close

Preface 1. Getting Started with ADF 2. Orchestration and Control Flow FREE CHAPTER 3. Setting Up Synapse Analytics 4. Working with Data Lake and Spark Pools 5. Working with Big Data and Databricks 6. Data Migration – Azure Data Factory and Other Cloud Services 7. Extending Azure Data Factory with Logic Apps and Azure Functions 8. Microsoft Fabric and Power BI, Azure ML, and Cognitive Services 9. Managing Deployment Processes with Azure DevOps 10. Monitoring and Troubleshooting Data Pipelines 11. Working with Azure Data Explorer 12. The Best Practices of Working with ADF 13. Other Books You May Enjoy
14. Index

Creating an Azure Data Factory using Azure Bicep

Azure Bicep is a domain-specific language that offers a more readable and maintainable approach to creating and managing Azure resources. It simplifies the process of creating, deploying, and managing ADF resources, reducing the complexity and tediousness of managing raw JSON files. In this recipe, we will create an Azure Data Factory using Azure Bicep and the Visual Studio Code Azure Bicep extension. The Azure Bicep extension for Visual Studio Code provides syntax highlighting, code snippets, and IntelliSense to make working with Azure Bicep files more efficient.

Getting ready

Before diving into the creation of an Azure Data Factory using Azure Bicep and Visual Studio Code, ensure that you have the necessary prerequisites in place:

  • An active Azure subscription
  • Visual Studio Code installed on your local machine
  • Azure CLI installed on your local machine
  • Azure Bicep CLI extension installed on your...
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