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PT4737
Training Summary
This class is designed for Oracle developers and DBAs who need to learn the key features in Oracle9i that support data warehousing. This is intended to be a bootstrap course for experienced Oracle technologists to teach them the key features of Oracle9i data warehousing features. A heavy emphasis will be placed on Extraction, Transformation and Loading (ETL) techniques. In this class, students will learn the issues in planning, designing, implementing, populating, and managing a data warehouse in Oracle9i. The advantages and issues in implementing a successful data warehouse will be studied. Students will learn the key Oracle data warehousing features used in implementing, and running a data warehouse. A detailed study of ROLAP and analytical functions is included. Data warehousing tuning issues will also be covered.
Prerequisites
Students must have a strong background in Oracle development or database administration. This class combines the Data Warehousing Fundamentals and the Oracle9i Data Warehousing features into a single 5-day class.
Duration
5 Days/Lecture & Lab
Course Topics
- Issues in designing and implementing systems for complex analysis
- Management Information Systems
- Decision Support Systems (DSS)
- Understanding business needs and requirements
- Data warehouse concepts and terminology
- Data Warehouse Properties
- Data Warehousing Terminology
- Key components of a data warehouse
- Data Warehouse Fundamental Elements
- Oracle Warehouse Technology Initiative (WTI)
- Data Warehouse Storage
- Accessing large tables in an Oracle data warehouse
- Range, hash, composite, list and range-list partitioning
- Accessing large indexes in an Oracle data warehouse
- Global versus local indexes
- Function-based, reverse-key, bitmap and bitmap-join indexes
- ROLAP operators
- SAMPLE operator
- Top 'N Analysis
- Extracting, Transforming, and Loading Data
- External functions
- Table functions
- Star schema
- Snowflake schema
- Materialized views
- Query rewrites
- Online Analytical Processing (OLAP) Models
- Query Access Architectures
- Parallel query and parallel DML operations
- Tuning parallel operations
- Transformation Techniques
- Refreshing Warehouse Data
- Capturing Changed Data
- Oracle streams
- Advanced Queuing
- External tables
- Managing metadata
- Business Intelligence
- Multidimensional Query Techniques
- Data Mining
- Tuning for a data warehouse