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

Creating data filters


End-users might need to access the same presentation tables but they're required to see different data sets. This could be achieved only by creating data filters. This is also called row-level security. Let's assume that two different users need to access the same table. But one of the users may be responsible for the west region and the other may be the employee who is responsible for the east region. They should access only the data that is related to their region. In such cases, row-level security will be the best solution.

We're going to learn how to implement data filters in this recipe.

How to do it...

  1. Open the Identity Manager and double-click on any application role. When the User/Application Role Permissions window pops up, click on the Permissions button and go to the Data Filters tab. You'll notice that there's no data filter by default.

  2. Click on the Add button to create a data filter for the SalesManager application role. The Browse window will pop up and...