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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

Chapter 7: Azure Data Factory Integration Runtime

The Azure Data Factory Integration Runtime (IR) is the compute infrastructure that is responsible for executing data flows, pipeline activities, data movement, and SQL Server Integration Services (SSIS) packages. There are three types of IR: Azure, self-hosted, and Azure SSIS.

The Azure IR is the default IR that is created whenever a new data factory is created. It can process data flows, data movement, and activities.

A self-hosted IR can be installed on-premises or on a virtual machine running the Windows OS. A self-hosted IR can be used to work with data on-premises or in the cloud. It can be used for data movement and activities.

The Azure SSIS IR is used to lift and shift existing SQL SSIS.

In this chapter, we'll learn how to use a self-hosted IR and Azure SSIS IR through the following recipes:

Configuring a self-hosted IR
Configuring a shared self-hosted IR
Migrating an SSIS package to Azure...

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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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