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Azure Data Factory Cookbook

You're reading from   Azure Data Factory Cookbook Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565296
Length 382 pages
Edition 1st Edition
Tools
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Authors (4):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Roman Storchak Roman Storchak
Author Profile Icon Roman Storchak
Roman Storchak
Xenia Ireton Xenia Ireton
Author Profile Icon Xenia Ireton
Xenia Ireton
Dmitry Foshin Dmitry Foshin
Author Profile Icon Dmitry Foshin
Dmitry Foshin
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Toc

Table of Contents (12) Chapters Close

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

Building an SSIS package

SSIS packages are a great way to build ETL/ELT processes with SQL Server. Packages (or projects) store the sequence of steps that are performed to execute an activity. Let's build a package that will connect to the SQL Server database, which stores the movielens dataset, preprocess it, and store the output in a new table.

Getting ready

In order to follow this recipe, you need to finish the Creating a SQL Server database recipe, as we will build an SSIS package that will use both a database and data that we have prepared previously.

Then, you have to install the most recent version of Visual Studio and log in to Azure via Visual Studio. Visual Studio Community edition fully supports all the features that we will use in the following recipes.

How to do it…

Let's build an SSIS package that joins two tables and deploy it to SSISDB in Azure:

  1. Open Visual Studio and create a new project.
  2. Select Integration Services Project...
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