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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

Abstracting your source system


For a business intelligence and data warehouse project, there are normally numerous source systems. All these source systems will have their individual data models and standards. Whether you are connecting to packaged or custom applications, at some time during the lifecycle of the project, these systems will undergo application upgrades. It is important to be able to abstract the business intelligence and data warehouse project from these upgrades so as to minimize the impact, and create a single point of failure.

Getting ready

Identify all your source tables from the Developing the data lineage recipe in Chapter 8, Analyzing the Sources. Obtain usernames and passwords for all the source systems with the necessary privileges. Determine the privileges you have within the source system.

How to do it...

Abstracting your data in the source system gives you a level of flexibility, should the source system or definition for the data change.

  1. 1. Open your Data lineage...

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