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Azure Data Factory Cookbook

You're reading from  Azure Data Factory Cookbook

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Pages 382 pages
Edition 1st Edition
Languages
Authors (4):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
Dmitry Foshin Dmitry Foshin
Profile icon Dmitry Foshin
Roman Storchak Roman Storchak
Profile icon Roman Storchak
Xenia Ireton Xenia Ireton
Profile icon Xenia Ireton
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Chapter 1: Getting Started with ADF 2. Chapter 2: Orchestration and Control Flow 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

Chapter 8: Working with Azure Services Integration

The Azure ecosystem has a variety of different services. Most of them can be integrated and connected into Azure Data Factory (ADF). In this chapter, we will cover how to do integrations of the most commonly used Azure services into ADF. Also, you will understand how Azure services can be useful in designing Extract, Transform, Load (ETL) pipelines.

You will learn how to build a pipeline that executes a logic app upon completion and how to integrate ADF with the following Azure services: Azure Machine Learning (ML), Azure Web Apps, and Azure Functions.

We will cover the following recipes in this chapter:

  • Triggering your data processing with Logic Apps
  • Using the web activity to call an Azure logic app
  • Adding flexibility to your pipelines with Azure Functions
  • Automatically building ML models with speed and scale
  • Transforming and preparing your data via Azure Databricks
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