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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 mass change to stored procedures

If we want to automatically generate the sample SSIS package for the WideWorldImporters solution, as we intended to do in the beginning, we need to work on some prerequisites. These prerequisites are so interesting and challenging that it is best to dedicate a separate recipe to them. The SSIS package from the sample WideWorldImporters solution uses Get stored procedures in the Data Flow Task OLE DB Source to retrieve data from the source. In the original package, the EXECUTE statement calling each Get stored procedure uses the RESULT SET clause to specify data types and column names for the return result set. This is necessary for SSIS to work correctly because all Get stored procedures use temp tables and since temp tables are resolved at runtime, SSIS is unable to retrieve metadata for every output column of the result dataset.

The use of temp tables is a challenge for Biml as well, and in addition to the RESULT SET clause, we need...

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