Title: Leveraging Oracle Business Intelligence Tools with the Oracle OLAP option
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2- Leveraging Oracle Business Intelligence Tools
with the Oracle OLAP option - Bud Endress
- Director, Product Management, OLAP option
- Oracle Corporation
- Hemant Verma
- Sr. Product Manager, OLAP option
- Oracle Corporation
3Agenda
- Problem statement
- Review of the OLAP option to the Oracle10g
Database - Demonstration
4Problem Statement
- The typical data warehouse infrastructure
fragments data and business rules - Increased costs
- Inconsistent analysis
5Fragmentation
- Types of fragmentation
- Subject specific data marts
- Sales, finance, human resources, etc.
- Geographically fragmented data
- Americas, Europe, Asia Pacific, etc.
- Database technology fragmentation
- Relational and multidimensional
- Tools induced fragmentation
- Separate tools for relational and
multidimensional databases
6Fragmentation
- What if you had
- Five subject areas
- Five geographic regions
- Relational and multidimensional analysis of each
- Separate tools for both relational and
multidimensional databases
7Fragmentation
- You would have
- 50 separate databases to manage
- Latency and synchronization problems
- Business rules in each database and in each tool
- You would not have a single, unified view of the
enterprise with - A single version of the data
- Consistency of business rules
8Geographic Fragmentation
9Technology Fragmentation
10Tools Fragmentation
Profit AB-C
Profit BCD
Profit ACD
Profit ACD-E
Replication data to Multidimensional database
Warehouse ETL Process
Relational Data Warehouse
Multidimensional Database
Sources
11Fragmentation
SQL
Relational Tools
Data Replication Process
Multidimensional Tools
OLAP APIs
Multidimensional Databases
Tools
Data Warehouse
12Fragmentation
Profit ACD-E
SPREADSHEET
13OLAP Option to the Oracle Database
SQL
Relational Data Types
OLAP API
Multidimensional Data Types
Data Warehouse
14OLAP Option to the Oracle Database
Profit ACD-E
15Demonstrations
16Oracle HTML DB
17Oracle HTML Database
HTML Database
Denormalized Fact View
OLAP_TABLE
Relational
Multidimensional
18Oracle Discoverer
19Oracle Discoverer Relational Context
Discoverer (dimensional context)
Dimension views and base level fact views over
analytic workspace
Summary views over analytic workspace
query rewrite
OLAP_TABLE
Analytic Workspace
20Oracle Discoverer Dimensional Context
Discoverer (dimensional context)
OLAP API
RDBMS Views
OLAP_TABLE
Relational
Multidimensional
21Oracle Reports
22Oracle Reports Relational Context
Reports
Denormalized Fact View
OLAP_TABLE
Relational
Multidimensional
23Oracle Reports Dimensional Context
Reports
OLAP Pluggable Data Source
OLAP API
RDBMS Views for OLAP API
OLAP_TABLE
Relational
Multidimensional
24Forecasting Application
25The front end application Written in Java
using Oracle Business Intelligence Beans
OLAP API
RDBMS Views for OLAP API
PL/SQL
OLAP_TABLE
Oracle10g Database the applications OLAP DML
program
FORECAST_UNITS program
Analytic Workspace
26OLAP Add-in for Excel
27OLAP Add-in for Excel
Excel
OLAP Spreadsheet Add-in
Query Builder Bean
Calculation Builder Bean
Data Beans
RDBMS Views for OLAP API
OLAP_TABLE
Relational
Multidimensional
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