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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 database layout


Oracle information is stored within a schema. The schema is the objects (tables, views, sequences, and so on) owned within the database. In a business intelligence and data warehouse solution, there are normally multiple schemas that encompass the solution.

Getting ready

Understand the proposed technology for the project and pre-read the installation requirements to get an understanding of the schema requirements.

How to do it...

Creating schemas within the database allows you to segregate and separate objects. This makes it easier to manage the objects with greater flexibility.

Separate your schemas into two categories:

  1. 1. Application Owners: These are the required schemas to house the information for the solution:

    • a. EDW_APP: The Enterprise Data Warehouse schema is for custom applications, to capture or enhance information or common lookups. This becomes a source for the data warehouse.

    • b. EDW_STAGE: The Enterprise Data Warehouse stage schema will store all the...

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