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

Building hierarchy data profiling scripts


Understanding data in hierarchies is essential to allowing users the capability to drill into the information. Profiling enables you to determine what type of hierarchies are available within the source systems. Hierarchies are generally of the following two types:

  • Balanced — The depth of the hierarchy is consistent across all the parents. Each child value has a single parent.

  • Ragged — The depth of the hierarchy varies depending on the parent.

Getting ready

Review your report mock ups and requirements from the Decomposing the reports and requirements recipe in Chapter 6, Analyzing the Requirements, and identify all the attributes which will be used in drill paths. Determine the source of record for this information using the Creating a source matrix recipe in Chapter 8, Analyzing the Sources.

For this recipe, there is a sample script which needs to be executed on a database. These scripts will outline the examples of a balanced and ragged hierarchy...