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Oracle Essbase 11 Development Cookbook

Oracle Essbase 11 Development Cookbook

By : Jose R Ruiz
4.2 (6)
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Oracle Essbase 11 Development Cookbook

Oracle Essbase 11 Development Cookbook

4.2 (6)
By: Jose R Ruiz

Overview of this book

Oracle Essbase is a Multi-Dimensional Online Analytical Processing (OLAP) server, providing a rich environment for effectively developing custom analytic and enterprise performance management applications. Oracle Essbase enables business users to quickly model complex business scenarios. This practical cookbook shows you the advanced development techniques when building Essbase Applications and how to take these applications further. Packed with over 90 task-based and immediately reusable recipes, this book starts by showing you how to use a relational data model to build and load an Essbase cube and how to create a data source, prepare the mini schema, and work with the data elements in Essbase Studio. The book then dives into topics such as building the BSO cube, building the ASO cube, using EAS for development, creating Calculation Scripts and using MaxL to automate processes.
Table of Contents (17 chapters)
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Oracle Essbase 11 Development Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1
Index

Creating an OLAP Model in EIS


In this recipe, we will build an OLAP Model using Essbase Integration Services (EIS). The EIS environment has some similarities and many differences when compared to Essbase Studio. To begin, we will have to set up an ODBC for the connection to the TBC database created in the first recipe of Chapter 2. The metadata catalog needs to be created before using EIS. The metadata catalog is created when you first install EIS or can be create by following the instructions in the Oracle Essbase Integration Service Adminstrator's Guide at the following link: http://download.oracle.com/docs/cd/E17236_01/epm.1112/eis_sysadmin.pdf. That said, the Essbase Studio minischema and the OLAP Model in EIS are very similar in practice. Both development tools have logical representations of the data source, which are used to create the relationship between the dimension tables in your star schema to your fact table.

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