1.Objectifs
2.Data Warehouse Design: Overview
3.Partitioning Basics
4.Parallelism Concepts
5.Parallel Operations in Data Warehouses
6.ETL: Extraction and Transportation
7.ETL: Loading
8.ETL: Transformation
9.Materialized Views
10.Refreshing Materialized Views
11.Working With Dimensions
12.Query Rewrite
13.Using the SQL Access Advisor, Compression, and Resumable Sessions
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Application Developers, Data Warehouse Administrator, Data Warehouse, Developer, Database Administrators, Support Engineer, Technical Consultant
- Review the basic Oracle data warehousing concepts - Use parallel operations to reduce response time for data-intensive operations - Extract, Transform, and Load data in the data warehouse - Create, use, and refresh materialized views to improve the data warehouse performance - Use Query rewrite to quickly answer business queries using materialized views - Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite - Use the features of compression and resumable sessions
- Oracle Database 11g: Administration Workshop I - Good working knowledge of data warehouse design - Ability to read and understand execution plans - Good working knowledge of SQL and in data warehouse design and implementation
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