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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

Defining your data dictionary


The data dictionary captures all the metadata for your project, and defines the information which will be presented to the business.

Getting ready

Review your semantic data model for all the attributes which lie below the dimensions and business entities (facts).

How to do it...

Creating your data dictionary early in the project allows you to socialize the project, understanding the information required by the business. This relays not only the understanding of the requirements but also the definition of the information gathered from the business. The data dictionary is a key as it will be used as an asset to define and describe information contained within the solution. This will not only be used for the project but will also be used throughout the existence of the solution:

  1. 1. Open your Business Requirement document, and create a new sheet called Data Dictionary, as shown in the following screenshot:

  2. 2. Create column headings to record the information within...

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