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SQL Server 2017 Integration Services Cookbook

You're reading from   SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Length 558 pages
Edition 1st Edition
Languages
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Authors (6):
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Matija Lah Matija Lah
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Matija Lah
Christo Olivier Christo Olivier
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Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
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Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
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Samuel Lester
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Toc

Table of Contents (12) Chapters Close

Preface 1. SSIS Setup FREE CHAPTER 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

Correcting data with the Script component


In this recipe, you will use the Script Component in the data flow as a transformation for advanced data cleansing. You will read an Excel file and do a custom transformation in order to make the output ready for further processing in the data flow.

Getting ready

In order to test this recipe, you need to have an Excel file prepared. In the file, there should be a single sheet with the following content:

Note

For your convenience, an Excel file with the content needed is provided in the Ch07_Orders.xls file.

Note that the table represents simple orders with order details. However, the order info is added to the first order details line only. Your task is to add the appropriate order info to every single line.

How to do it...

  1. Add a new package to the AdventureWorksETL project. Rename it ProcessingExcel.dtsx.
  2. Add a new package-level Excel connection manager. Rename it Excel_Ch07_Orders. Point to your Excel file path and define your Excel version appropriately...
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