Oracle Essbase 11 Development Cookbook

Oracle Essbase 11 Development Cookbook

By : Jose R Ruiz

Buy this Book

Oracle Essbase 11 Development Cookbook

By: Jose R Ruiz

Buy this Book

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.

Oracle Essbase 11 Development Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Preface

Free Chapter

Understanding and Modifying Data Sources

Introduction

Setting up an Account or Measures dimension with a parent-child reference

Setting up dimensions with a generation reference

Adding columns for outline formulas

Adding the solve order column to tables that have ASO formulas

Adding and populating the Sort Order Column

Adding tables for varying attributes

Determining hierarchies in relational tables

Using the Essbase Outline Extractor to extract dimensions

Using Star Analytics to build your star schema from existing Essbase cubes

Using Essbase Studio

Introduction

Creating TBC sample database and connecting to the data source

Adding user-defined tables

Building your minischema

Setting up joins in a minischema

Adding tables to a minischema

Using a text file data source

Working with Common Platform Language (CPL)

Using Sort Order on data elements

Building the BSO Cube

Introduction

Creating hierarchies using a parent-child reference table

Creating hierarchies using a generation reference table

Adding attribute dimensions to hierarchies

Building a Calendar dimension

Creating date elements

Creating Alias tables

Developing cube schema and an Essbase model

Setting Essbase properties

Deploying a cube

Creating an OLAP Model in EIS

Creating an OLAP metaoutline in EIS

Building the ASO Cube

Introduction

Using the Connection Wizard to set up an ASO cube

Building a Measures dimension from the fact table

Creating an ASO Cube Schema and an Essbase Model

Understanding Essbase Model properties for the ASO cube

Designing a drill-through report

Using the View dimension for Dynamic Time Series reporting

Using EAS for Development

Introduction

Adding an application and database on an Essbase Server

Using the outline editor to add dimensions

Using dimension build rules to add the parent-child dimension

Creating dimension build rules to add a base and attribute dimensions

Using dimension build rules to add user-defined attributes and associate dimensions

Creating load rules for flat file data loads

Creating substitution variables

Using If/Else logic and substitution variables in outline formulas

Using Text measures on a BSO cube

Using Date measures on a BSO cube

Using different outline formula logic at parent level

Creating a load rule for SQL data load using substitution variables

Using MDX in aggregate storage applications

Creating Calculation Scripts

Introduction

Using Essbase Set function commands and Calc All to calculate cubes

Using control flow commands, conditional, and logical operators

Using substitution variables in calculations script

Using UDAs and Calc Two Pass in calculation scripts

Using Attributes in calculation scripts

Clearing data and using the cross- dimensional operators in a calculation script

Using allocation functions in calculation scripts

Modifying Essbase settings to improve calculation performance

Using MDX to calculate Aggregate Storage database

Using MaxL to Automate Process

Introduction

Setting up folder structure and other files needed for MaxL automation

Executing dimension build rules using MaxL

Executing load rules using MaxL

Executing calculations using MaxL

Executing partitions using MaxL

Executing report scripts using MaxL

Adding or changing substitution variables with MaxL

Using ASO incremental data loads

Using encryption in MaxL scripts

Deploy dimension created in Essbase Studio

Data Integration

Introduction

Using report script to extract data to a text file

Using the DATAEXPORT function to extract data into a text file

Using the DATAEXPORT function to extract data into a relational source

Exporting data using column format

Using MaxL to extract the outline in XML format

Using @XREF functions to move data between BSO cubes

Partitioning data from BSO to ASO cubes

Using MDX for extracting data using API

Provisioning Security Using MaxL Editor or Shared Services

Introduction

Using MaxL editor to add and externalize a user

Using Shared Services to add and provision a user

Using MaxL Editor to set up a filter for MetaRead and Write access

Using Shared Services to provision filters to a group

Using Shared Services to provision calculation scripts to a group

Using MaxL to export security file

Developing Dynamic Reports

Introduction

Creating a connection and using substitution variables in financial reports

Using the column templates and formatting reports

Retrieving data using UDAs and Attributes

Retrieving data using children and descendants member set functions

Using User Prompts and the POV to select members

Using conditional formatting and suppression in financial reports

Creating a web analysis report

Index

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Using the DATAEXPORT function to extract data into a text file

In this recipe, we will export data in a format that can easily be loaded into the relational environment. The DATAEXPORT function does not have the breadth and depth of report scripts as its purpose is to retrieve data for integration and not reporting. On the other hand, it can use the calculator cache to retrieve data in a tabular format, which makes it much faster than the equivalent report scripts. The DATAEXPORT function does not allow you to specify the order of each row or column, but you can specify what dense dimension you would like see in the columns. Another difference between a report script and the DATAEXPORT function is that these types of calculations can only be run on a block storage cube. This functionality is not supported in the aggregate storage model.

Getting ready

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Oracle Essbase 11 Development Cookbook

By : Jose R Ruiz

Oracle Essbase 11 Development Cookbook

By: Jose R Ruiz

Overview of this book

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Oracle Essbase 11 Development Cookbook

Using the DATAEXPORT function to extract data into a text file

Getting ready