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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

Chaining and branching activities within a pipeline

In this recipe, we shall build a pipeline that will extract the data from the CSV files in Azure Blob Storage, load this data into the Azure SQL table, and record a log message with the status of this job. The status message will depend on whether the extract and load succeeded or failed.

Getting ready

We shall be using all the Azure services that are mentioned in the Technical requirements section at the beginning of the chapter. We shall be using the PipelineLog table and the InsertLogRecord stored procedure. If you have not created the table and the stored procedure in your Azure SQL database yet, please do so.

How to do it…

  1. In this recipe, we shall reuse portions of the pipeline from the Using parameters and built-in functions recipe. If you completed that recipe, just create a clone of that pipeline and name it as pl_orchestration_recipe_4. If you did not, go through steps 1-10 and create a parameterized pipeline.
  2. Observe...

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