Data Warehousing involves large volumes of data used primarily for analysis. This category covers applications such as Business Intelligence and Decision Support Systems.
Supporting documentation treats advanced topics related to Data Warehousing and Business Intelligence. In general, the 2 Day + books refer you to these topics when needed.
|Data Warehousing Guide||HTML|
|Performance Tuning Guide||HTML|
|SQL Tuning Guide||HTML|
|VLDB and Partitioning Guide||HTML|
Online Analytical Processing (OLAP) analyzes data from a data warehouse, for business processes such as forecasting, planning, and what-if analysis.
|OLAP User's Guide||HTML|
|OLAP Customizing Analytic Workspace Manager||HTML|
|OLAP DML Reference||HTML|
|OLAP Expression Syntax Reference||HTML|
|OLAP Java API Developer's Guide||HTML|
|OLAP Java API Reference (Javadoc)||HTML|
|Using the OLAP APIs (Virtual Book)||HTML|
Oracle Advanced Analytics extends the database into a comprehensive advanced analytics platform, including predictive analytics, data mining and text mining, statistical analysis, and advanced analytics. Advanced Analytics has two components, Oracle Data Mining and Oracle R Enterprise.
|Data Mining Concepts||HTML|
|Data Mining User's Guide||HTML|
|Data Mining API Guide (Virtual Book)||HTML|
|R Enterprise Release Notes||HTML|
|R Enterprise User's Guide||HTML|