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Azure Data Engineering Cookbook

You're reading from Azure Data Engineering Cookbook Design and implement batch and streaming analytics using Azure Cloud Services

Product type Paperback

Published in Apr 2021

Publisher Packt

ISBN-13 9781800206557

Length 454 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Data Engineering

Authors (2):

Nagaraj Venkatesan

Ahmad Osama

View More author details

Table of Contents (11) Chapters

Preface

1. Chapter 1: Working with Azure Blob Storage

2. Chapter 2: Working with Relational Databases in Azure FREE CHAPTER

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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Authors (2)

Nagaraj Venkatesan

Nagaraj Venkatesan

Nagaraj Venkatesan works as a cloud solution architect at Microsoft. At Microsoft, he works with some of the largest companies in the world, solving their complex data engineering problems and helping them build effective solutions using cutting-edge technologies based on Azure. Nagaraj, based out of Singapore, is a popular member of the data and AI community and is a regular speaker at several international data and AI conferences. He is a two-time Microsoft Most Valuable Professional (MVP) award winner, in 2016 and 2017. Nagaraj shares his technical expertise through his blog and on his YouTube channel called DataChannel. He also holds a master's degree in computing from the National University of Singapore.

See other products by Nagaraj Venkatesan

Ahmad Osama

Ahmad Osama

Ahmad Osama works for Pitney Bowes Pvt. Ltd. as a technical architect and is a former Microsoft Data Platform MVP. In his day job, he works on developing and maintaining high performant, on-premises and cloud SQL Server OLTP environments as well as deployment and automating tasks using PowerShell. When not working, Ahmad blogs at DataPlatformLabs and can be found glued to his Xbox.

See other products by Ahmad Osama

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