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Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

You're reading from   Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology Take your data warehousing and business intelligence to the next level with this practical guide to Oracle Database 11g. Packed with illustrations, tips, and examples, it has over 80 advanced recipes to fine-tune your skills and knowledge.

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Product type Paperback
Published in Jul 2012
Publisher Packt
ISBN-13 9781849685481
Length 368 pages
Edition 1st Edition
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Author (1):
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John Heaton John Heaton
Author Profile Icon John Heaton
John Heaton
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Table of Contents (21) Chapters Close

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
1. Preface
1. Defining a Program FREE CHAPTER 2. Establishing the Project 3. Controlling the Project 4. Wrapping Up the Project 5. The Blueprint 6. Analyzing the Requirements 7. Architecture and Design 8. Analyzing the Sources 9. Analyzing the Data 10. Constructing the Data Model 11. Defining the ETL/ELT 12. Enhancing the Data 13. Optimizing the Access 14. Security

Designing ETL error trapping and detection routines


There are many ways in which you can detect and trap errors. Tools such as Oracle Warehouse Builder and Oracle Data Integrator provide some capabilities to detect data quality errors and provide mechanisms to correct the issues. The Oracle database allows you to add constraints to your data model (primary, foreign, unique, and check constraints) to enforce data integrity. They are useful and help to trap some errors; the problem with them is in detecting an error. For example, if you get a duplicate key error and are using a primary key constraint with bulk transformation within Oracle, a few things will happen. The first is the bulk transformation will encounter an error and potentially stop. If you have a failover to row processing, the process will start again, processing a single row at a time. The first duplicate record will be inserted into the target table, and the rest will return an error and can be configured to be placed into...

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