Book Image

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

By : John Heaton
Book Image

Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology

By: John Heaton

Overview of this book

Oracle Database 11g is a comprehensive database platform for data warehousing and business intelligence that combines industry-leading scalability and performance, deeply-integrated analytics, and embedded integration and data-quality all in a single platform running on a reliable, low-cost grid infrastructure. This book steps through the lifecycle of building a data warehouse with key tips and techniques along the way. Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology outlines the key ways to effectively use Oracle technology to deliver your business intelligence solution. This is a practical guide starting with key recipes for project management then moving onto project delivery. Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology is a practical guide for performing key steps and functions on your project. This book starts with setting the foundation for a highly repeatable efficient project management approach by assessing your current methodology to see how suitable it is for a business intelligence program. We also learn to set up the project delivery phases to consistently estimate the effort for a project. Along the way we learn to create blueprints for the business intelligence solution that help to connect and map out the destination of the solution. We then move on to analyze requirements, sources, and data. Finally we learn to secure the data as it is an important asset within the organization and needs to be secured efficiently and effectively.
Table of Contents (21 chapters)
Business Intelligence Cookbook: A Project Lifecycle Approach Using Oracle Technology
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface

Creating your glossary


The glossary stores all the abbreviations for your data model.

Getting ready

Understand your organizations' standards to shorten names and standard naming conventions for column headers within reports. Gather some samples if they do not exist to determine if you can uncover a pattern, for example, Cust for Customer, Sup for Suppliers, and so on.

How to do it...

By creating a glossary, you can save substantial amounts of time and apply standards consistently as follows:

  1. 1. Click on Tools | Glossary Editor:

  2. 2. Navigate to your BI_Data_Models directory, and enter a name for the file. Then, click on Open:

  3. 3. Enter Name, Description, and begin adding your words by using the + (plus) icon:

  4. 4. Apply the glossary to the environment. Click on Tools | Preferences:

  5. 5. Click on Naming Standard:

  6. 6. Check the Abbreviated Only checkbox for Relational Model, and click on the + (plus) icon to specify the glossary file. Navigate to your directory, and select the glossary.glossary file...