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Learning Informatica PowerCenter 10.x

You're reading from   Learning Informatica PowerCenter 10.x Enterprise data warehousing and intelligent data centers for efficient data management solutions

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781788471220
Length 426 pages
Edition 2nd Edition
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Author (1):
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Rahul Malewar Rahul Malewar
Author Profile Icon Rahul Malewar
Rahul Malewar
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Table of Contents (20) Chapters Close

Title Page
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Downloading and Extracting Informatica PowerCenter Software FREE CHAPTER 2. Understanding Admin Console 3. Understanding Designer Screen and its Components 4. The Lifeline of Informatica - Transformations 5. Using the Designer Screen - Advanced Features 6. Implementing SCD Using Designer Screen Wizards 7. Using the Workflow Manager Screen 8. Learning Various Tasks in Workflow Manager screen 9. Advanced Features of Workflow Manager Screen 10. Working with Workflow Monitor - Monitoring the code 11. The Deployment Phase - Using Repository Manager 12. Optimization - Performance Tuning

Summary


We started the chapter with the basic components of PowerCenter Designer screen, that is Source Analyzer, Target Designer, Transformation Developer, Mapplet Designer, Mapping Designer. You then learned to work on different types of sources, including flat files (delimited files and fixed width files) and relational databases. Similarly, we worked on different types of targets. We also worked upon the import and create functionality of sources and targets. Later in the chapter, we saw how to preview the data. The last and most important aspect you learned in this chapter is creating the mappings using Sources and Targets.

Informatica PowerCenter Designer screen, of course, cannot be that simple. Moving ahead, in the next chapter, we will see the advanced concepts of the Designer Screen. There are lot of high-level functionalities that are added in the Designer window to help in better and faster processing.

In the next chapter, we will see how to process the data by managing the constraints...

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