In this course, participants learn about the best practices for implementing an enterprise data warehouse. Participants identify the hardware elements that influence the throughput and learn how to build a balanced hardware configuration. Participants also review the two classic models: Third normal form (3NF) and star schema and learn how to optimize both models. Participants learn how to convert the logical model into a suitable physical model. Participants also learn how to load data efficiently into the data warehouse and how to use partition exchange load and data compression during the ETL process to improve performance. Finally, participants learn to manage the system workload and resources, to ensure an Enterprise Data Warehouse can run at optimal performance, and explains how parallel execution enables them to fully utilize the system. In addition, participants describe how to gather statistics efficiently.
       Learn To:
       Describe how to build a balanced hardware configuration
       Discuss and apply the two classic models, the third normal form (3NF) or star schema
       Describe how to convert the logical model into the suitable physical model
       Describe the various methods to load data efficiently into the data warehouse
       Use partition exchange load and data compression during staging to improve performance
       Manage the system workload and resources

       Data Warehouse Administrator
       Database Administrators
       Data Warehouse Developer
       Application Developers
       Support Engineer






             Prerequisites and Suggested Prerequisites
             Questions About You
             Course Objectives
             Course Agenda
             Sample Schemas Used in the Course
             The Sales History (SH) Schema
             Oracle 11g SQL and Data Warehousing Guide Documentation
             Additional Resources: Oracle By Example (OBE)
       Building a Balanced Hardware Configuration
             Maintaining High Throughput
             Balanced System
             Components of Hardware Configuration
             Example of a Balanced System: 4-Node RAC Environment
             Data Warehouse Hardware Configuration: Best Practices
             Disk Layout and Design
             Implementing S.A.M.E. Using ASM and Hardware Mirroring
       Data Warehouse Logical and Physical Design
             Data Warehouse Models: 3NF and Star
             Industry Best Practices: When to Use Each Model
             The Typical Blueprint of Physical Layers in a Data Warehouse Environment
             Optimizing 3rd Normal Form: Power, Partitioning, Parallelism
             Partitioning Strategies Example: Composite Range-Hash Partitioning
             Partition Pruning
             Partition Wise Join
             Optimizing Star Queries: Star Transformation
       Loading Data: Best Practices
             Loading Data into the Warehouse
             The Three Layers of ETL
             Data Loading Methods in a Data Warehouse
             Loading Data from Flat Files into the Data Warehouse Using External Tables
             Pre-Processing in an External Table
             Using Direct Path Load
             Partition Exchange Loading
             Tips for Data Loading: File Size and Formats, Compression, and Statistics
       Managing the System Workload and Resources
             System Management: Keeping the Lights On for Your Data Warehouse
             Scanning a Table in Parallel
             SQL Parallel Execution: Overview
             Parallel Execution In Action
             General Rules on When to Use Parallel Execution
             Workload Monitoring Using (G)V$ Views or Oracle EM 11g
             Oracle Resource Manager
             Gathering Statistics