Book Image

Oracle Business Intelligence 11g R1 Cookbook

By : Cuneyt Yilmaz
Book Image

Oracle Business Intelligence 11g R1 Cookbook

By: Cuneyt Yilmaz

Overview of this book

<p>Extracting meaningful and valuable business information from transactional databases is crucial for any organization. OBIEE 11g is a reporting tool that satisfies all the business requirements regarding complex reporting. It consists of a powerful back-end engine with a repository and a highly customizable graphical web interface.</p> <p>Oracle Business Intelligence 11g R1 Cookbook provides all the key concepts of the product including the architecture of the BI Server. This practical guide shows each and every step of creating analytical reports starting from building a well-designed repository. You will learn how to create analytical reports that will support different business perspectives. <br /><br />This practical guide covers how to implement OBIEE 11g suite in order to enable BI developers to create sophisticated web based reports. All of tasks will be covered step by step in detail. <br /><br />You will explore the architecture of the Oracle Business Intelligence Server and learn how to build the repository (RPD). We will also discuss how to implement the business rules in the repository with real-life scenarios.</p> <p>Best practices of a successful BI implementation are esssential for any BI developer so they are also covered in depth.If you are planning to implement OBIEE 11g suite, this step-by-step guide is a must have resource.All the key tasks are defined in detail and supported with diagrams and screenshots.</p>
Table of Contents (19 chapters)
Oracle Business Intelligence 11g R1 Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Implementing Vertical Federation


Multidimensional sources store aggregated data, not the detailed data. Because of their nature, they just contain summary data at certain levels. These levels are specified during creation of the cubes.

Vertical Federation provides the ability to drill through aggregate multidimensional data into detail relational data.

We're going to use a different cube named Market to demonstrate Vertical Federation. As you've already learned how to import the multidimensional metadata and how to create a business model, these steps will be skipped in our example.

Here's the new source and new Business Model:

The new cube contains Dollars values that are aggregated at these levels:

  • Area dimension: District level

  • Time dimension: Year level

Relational source contains Dollars values that are aggregated at these levels:

  • Area dimension: Sales person level (lower detail level than the District level)

  • Time dimension: Year level

How to do it...

  1. We're going to create a second logical...