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ETL with Azure Cookbook

You're reading from   ETL with Azure Cookbook Practical recipes for building modern ETL solutions to load and transform data from any source

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Length 446 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Matija Lah Matija Lah
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Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Author Profile Icon Madina Saitakhmetova
Madina Saitakhmetova
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL FREE CHAPTER 3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters 4. Chapter 4: Azure Data Integration 5. Chapter 5: Extending SSIS with Custom Tasks and Transformations 6. Chapter 6: Azure Data Factory 7. Chapter 7: Azure Databricks 8. Chapter 8: SSIS Migration Strategies 9. Chapter 9: Profiling data in Azure 10. Chapter 10: Manage SSIS and Azure Data Factory with Biml 11. Other Books You May Enjoy

Generating a basic SSIS package

Now we are ready to get to SSIS packages. Let's start with an SSIS package that is similar to a master package, because that type of package is best suited to automation. Master packages are usually simple and call other packages in a linear manner. We will use a Wide World Importers sample SSIS project for this recipe. In the Wide World Importers sample project, DailyETLMain.dtsx is a single package, and it contains a set of Sequences for each destination table. Each sequence has more logic in it. All we want to do in this recipe is to generate an SSIS package with a collection of empty Sequence Containers for each destination table.

Getting ready

There are a couple of steps we need to take before beginning:

  1. Open Visual Studio 2019 and then open the ETLInAzure SSIS project. First, we will need to prepare our driving force: metadata. You will need to create a new SQL Server database, BIMLMetadata, where the metadata and configuration...
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