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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Length 382 pages
Edition 1st Edition
Tools
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Authors (4):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Roman Storchak Roman Storchak
Author Profile Icon Roman Storchak
Roman Storchak
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow FREE CHAPTER 3. Chapter 3: Setting Up a Cloud Data Warehouse 4. Chapter 4: Working with Azure Data Lake 5. Chapter 5: Working with Big Data – HDInsight and Databricks 6. Chapter 6: Integration with MS SSIS 7. Chapter 7: Data Migration – Azure Data Factory and Other Cloud Services 8. Chapter 8: Working with Azure Services Integration 9. Chapter 9: Managing Deployment Processes with Azure DevOps 10. Chapter 10: Monitoring and Troubleshooting Data Pipelines 11. Other Books You May Enjoy

Using the web activity to call an Azure logic app

Azure Logic Apps allows you to greatly increase the capabilities of ADF. You can use it to send emails to build a notification framework. Countless things that can't be done at this point in time in ADF you can leverage Azure Logic Apps to do.

In this recipe, you will learn how to call an Azure logic app from ADF and how to pass parameters between them to archive files from a folder in Blob storage and delete those files from the original location.

Getting ready

You need to have created an ADF and Azure Data Lake Storage Gen2 account. The Flights dataset (or any other dataset) should be uploaded to Storage. There should be a container called archive created in the Azure Blob storage space. You also need to be familiar with creating ADF pipelines containing the Get Metadata, Filter, and For Each activities. Please refer to Chapter 2, Orchestration and Control Flow, for guidelines on how to do that.

How to do it…...

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