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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

Table of Contents (12) Chapters

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

Getting ready for the CI/CD of ADF

CD includes the deployment of ADF pipelines between different environments, that is, development, testing, and production. The best practice and most secure way of configuring your pipelines in the CI/CD process is using Azure Key Vault (AKV) instead of a connection string. In this chapter, you will learn what you need to set up before creating a CD process and how to establish AKV and connect it with ADF and an Azure storage account.

Getting ready

Before we start, please ensure that you have an Azure license and are familiar with the basics of Azure resources such as the Azure portal, creating and deleting Azure resources, and creating pipelines in ADF.

How to do it...

In this section, we are going to create and set up two resource groups – development (DEV) and testing (UAT). Inside of each resource group, we'll create access policies, and secrets on ADF, an Azure storage account, and AKV:

  1. You need to have created...
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