Data Warehousing and Business Intelligence
Data Warehousing involves large volumes of data used primarily for analysis.
This category covers applications such as Business Intelligence and Decision Support Systems.
| 2 Day + Data Warehousing Guide
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Oracle Warehouse Builder (OWB) enables the design and deployment of enterprise data warehouses, data marts, and e-business intelligence applications.
| Warehouse Builder Concepts
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| Warehouse Builder Sources and Targets Guide
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| Warehouse Builder API and Scripting Reference
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| Warehouse Builder Installation and Administration Guide
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| Warehouse Builder Data Modeling, ETL, and Data Quality Guide
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| Warehouse Builder OMB*Plus Command Reference
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| Warehouse Builder Release Notes
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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
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| OLAP Customizing Analytic Workspace Manager
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| OLAP DML Reference
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| OLAP Java API Developer's Guide
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| OLAP Java API Reference (Javadoc)
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Oracle Data Mining uses sophisticated machine learning and statistical algorithms to find patterns and trends, identify segments, and predict the probability of future events.
| Data Mining Concepts
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| Data Mining Administrator's Guide
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| Data Mining Application Developer's Guide
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| Data Mining Application Developer's Guide
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| Data Mining Java API Reference (Javadoc)
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Communications Data Model is a normalized data model optimized for Oracle data warehouses.
| Communications Data Model Installation Guide
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| Communications Data Model Implementation and Operations Guide
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| Communications Data Model Reference
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| Communications Data Model Release Notes
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Essentials