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Oracle Database
  10g Release 1 (10.1)
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Data Warehousing

Data Warehousing involves large volumes of data used primarily for analysis. This category covers applications such as Business Intelligence and Decision Support Systems.

Data Mining

Data Mining analyzes data from a data warehouse, looking for trends and patterns:

Data Mining Administrator's Guide HTML PDF
Data Mining Concepts HTML PDF
Data Mining Application Developer's Guide HTML PDF

Real Application Clusters

Oracle Real Application Clusters combines storage and processing power across a cluster of machines for high availability:

Real Application Clusters Administrator's Guide HTML PDF
Real Application Clusters Deployment and Performance Guide HTML PDF
 

Most Popular

These books contain the most commonly used information for general database administration and application development:

2 Day DBA HTML PDF
Concepts HTML PDF
Administrator's Guide HTML PDF
Application Developer's Guide - Fundamentals HTML PDF
SQL Reference HTML PDF
PL/SQL User's Guide and Reference HTML PDF
Reference HTML PDF

Data Warehousing

Data Warehousing refers to large databases used mostly for querying. You need to understand the performance of certain types of queries, and how to move large quantities of data around. Most of the information on the Administration page also applies here.

Data Warehousing Guide HTML PDF
Performance Tuning Guide HTML PDF
Utilities HTML PDF

OLAP

Online Analytical Processing (OLAP) analyzes data from a data warehouse, for business processes such as forecasting, planning, and what-if analysis:

OLAP Application Developer's Guide HTML PDF
OLAP Reference HTML PDF
OLAP Developer's Guide to the OLAP API HTML PDF
OLAP DML Reference HTML PDF
OLAP Java API Reference (Javadoc) HTML  
OLAP Analytic Workspace Java API Reference (Javadoc) HTML  

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