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 domains


Domains are ways to standardize the datatype and lengths to assign to attributes.

Getting ready

Review your results of data profiling from the Building data lengths data profiling scripts recipe of Chapter 9, Analyzing the Data.

How to do it...

Identifying standard lengths and datatypes for columns by creating domains simplifies the maintenance and management of the data model as follows:

  1. 1. Click on Tools | Domains Administration:

  2. 2. Click on Add to include a new domain, as shown in the following screenshot:

  3. 3. Enter details for the domain such as Name, Logical Type, Units, Size or Precision, and Scale. Click on Modify:

  4. 4. Click on Save, and then on Close to save the domain.

  5. 5. Double-click on an entity to apply the domain, and select Attributes.

  6. 6. Click on an attribute to assign the domain to it, as shown in the following screenshot:

  7. 7. Select the Domain radio button, and then select TEXT_SHORT20 as the domain. Click on Apply, and then on OK to close the entity:

How...