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Azure Data Engineering Cookbook

You're reading from  Azure Data Engineering Cookbook

Product type Book
Published in Apr 2021
Publisher Packt
ISBN-13 9781800206557
Pages 454 pages
Edition 1st Edition
Languages
Author (1):
Ahmad Osama Ahmad Osama
Profile icon Ahmad Osama

Table of Contents (11) Chapters

Preface 1. Chapter 1: Working with Azure Blob Storage 2. Chapter 2: Working with Relational Databases in Azure 3. Chapter 3: Analyzing Data with Azure Synapse Analytics 4. Chapter 4: Control Flow Activities in Azure Data Factory 5. Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory 6. Chapter 6: Data Flows in Azure Data Factory 7. Chapter 7: Azure Data Factory Integration Runtime 8. Chapter 8: Deploying Azure Data Factory Pipelines 9. Chapter 9: Batch and Streaming Data Processing with Azure Databricks 10. Other Books You May Enjoy

Executing an SSIS package with an on-premises data store

We may have SSIS packages accessing an on-premises data source or the destination; for example, we may have files in an on-premises file store to be uploaded to Azure SQL Database, or we may have an on-premises database as the source. In such cases, we require the Azure SSIS IR to connect to the on-premises data store. There are two ways to do that:

  • Configuring Azure SSIS to connect to on-premises using a Point-to-Site VPN, Site-to-Site VPN, or ExpressRoute. There are three steps to this:

    1) Set up a Point-to-Site VPN, Site-to-Site VPN, or ExpressRoute between on-premises and Azure.

    2) Create a virtual network and join the Azure SSIS IR with the virtual network.

    3) Create a virtual network gateway.

  • Configure Azure SSIS to use a self-hosted IR as a proxy to connect to on-premises.

In this recipe, we'll explore the second option. To get more information on option 1, you can check out https://docs.microsoft...

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