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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

Chapter 10. Constructing the Data Model

This chapter outlines how to construct the data model with Oracle SQL Data Modeler (a free standalone product or embedded within Oracle SQL Developer from Oracle) using a top-down and bottom-up approach. Oracle SQL Data Modeler will be used to build your database logical and physical models. This can be used by Oracle Warehouse Builder and Oracle Data Integrator. Oracle Business Intelligence Enterprise Edition (OBIEE) will be used to map the physical database model to the the presentation data model used for reporting. The following recipes focus on the database logical and physical data models:

  • Connecting Oracle SQL Data Modeler to Subversion

  • Importing data models into Subversion

  • Checkout data models from Subversion

  • Synchronizing data model changes with Subversion

  • How to import data models

  • How to reverse engineer your relational data model to a logical data model

  • Creating your domains

  • Creating your glossary

  • Adding standard columns to your data model

  • How to...

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