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Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide

You're reading from   Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide Get to grips with Microsoft Business Intelligence and Data Warehousing technologies using this practical guide

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781849688888
Length 350 pages
Edition Edition
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Authors (2):
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Reza Rad Reza Rad
Author Profile Icon Reza Rad
Reza Rad
Abolfazl Radgoudarzi Abolfazl Radgoudarzi
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Abolfazl Radgoudarzi
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Table of Contents (19) Chapters Close

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Data Warehouse Design 2. SQL Server Analysis Services Multidimensional Cube Development FREE CHAPTER 3. Tabular Model Development of SQL Server Analysis Services 4. ETL with Integration Services 5. Master Data Management 6. Data Quality and Data Cleansing 7. Data Mining – Descriptive Models in SSAS 8. Identifying Data Patterns – Predictive Models in SSAS 9. Reporting Services 10. Dashboard Design 11. Power BI 12. Integrating Reports in Applications Index

Time for action – the DQS cleansing component in SSIS


In this example, we will create an SSIS project and get some customer information from an Excel file and apply the Address KB rules on the information with the DQS cleansing component and check the result. For this example, we only show results in a data viewer in SSIS, but in real-world scenarios, you might need to export the results into a destination or use them as the source of another transformation. Perform the following steps to create a cleansing component:

  1. Open SSDT, create a new Integration Service project, and name it Chapter 05 Data Quality Services.

  2. Create a Data Flow task and then go to the Data Flow tab.

  3. Create an Excel source, connect it to the KB Parsing.xlsx file, set the first row as header, preview data, and close this component.

  4. Drag-and-drop a DQS cleansing component from the SSIS toolbox under the Excel source and connect the data path from the Excel source to this component.

  5. In the DQS Cleansing Transformation editor...

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