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SQL Server 2017 Integration Services Cookbook

You're reading from  SQL Server 2017 Integration Services Cookbook

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Pages 558 pages
Edition 1st Edition
Languages
Authors (6):
Christian Cote Christian Cote
Profile icon Christian Cote
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
David Peter Hansen David Peter Hansen
Matija Lah Matija Lah
Profile icon Matija Lah
Samuel Lester Samuel Lester
Christo Olivier Christo Olivier
View More author details

Table of Contents (18) Chapters

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. SSIS Setup 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

Introduction


Business intelligence projects often reveal previously unseen issues with the quality of the source data. Dealing with data quality includes data quality assessment, or data profiling, data cleansing, and maintaining high quality over time.

In SSIS, the data profiling task helps you find unclean data. The data profiling task is not like the other tasks in SSIS because it is not intended to be run over and over again through a scheduled operation. Think about SSIS as being the wrapper for this tool. You use the SSIS framework to configure and run the data profiling task, and then you observe the results through the separate data profile viewer. The output of the data profiling task will be used to help you in your development and design of the ETL and dimensional structures in your solution. Periodically, you may want to rerun the data profile task to see how the data has changed, but the package you develop will not include the task in the overall recurring ETL process.

SQL Server...

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