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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

Using the Lookup, Web, and Execute Pipeline activities

In this recipe, we shall implement error handling logic for our pipeline – similar to the previous recipe, but with a more sophisticated design: we shall isolate the error handling flow in its own pipeline. Our main parent pipeline will then call the child pipeline. This recipe also introduces three very useful activities to the user: Lookup, Web, and Execute Pipeline. The recipe will illustrate how to retrieve information from an Azure SQL table and how to invoke other Azure services from the pipeline.

Getting ready

We shall be using all the Azure services that are mentioned in the Technical requirements section at the beginning of the chapter. In addition, this recipe requires a table to store the email addresses of the status email recipients. Please refer to the Technical requirements section for the table creation scripts and instructions.We shall be building a pipeline that sends an email in the case of failure. There...

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