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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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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 an SSIS package with Execute SQL Tasks

Now let's create an SSIS package with some more meat on it. The original SSIS package that I want to generate automatically, DailyETLMain.dtsx, contains multiple tasks within each Sequence Container, such as an Expression Task and Execute SQL Tasks, as shown in the following screenshot:

Figure 10.10 – A screenshot showing DailyETLMain.dtsx

We will begin with the Biml code that was started in the previous recipe and programmatically add precedence constraints, connections, variables, and tasks within each Sequence Container. What we want to accomplish in this recipe is generating an SSIS package with Sequence Containers that will run one after another on success. Each sequence container will contain four tasks: one Expression Task and three Execute SQL Tasks. The resulting package will be one more step toward using Biml to automatically generate a sample DailyETLMain.dtsx SSIS package from the Wide...

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