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

Introduction


Online Transactional Processing (OLTP) databases are optimized for transaction processing. The performance of the Insert, update, and delete SQL statements are very important in the OLTP databases. They store the data in the two-dimensional structures called as tables. Enterprises need to retrieve valuable information from these databases to make strategic decisions. The databases that are optimized for queries are called as data warehouses. The need for the data warehouses is obvious for analytical reporting. They store the data in the tables like the OLTP databases. The major difference between the OLTP and data warehouse databases is the design of the tables. Normalization rules are applied in the OLTP to improve the performance of the transactions. On the other hand, data warehouses are mostly designed based on denormalization rules.

Online Analytical Processing (OLAP) databases store summary data and they are used to generate aggregated result sets. They store their data...