课程介绍： 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 课程对象：        Data Warehouse Administrator        Database Administrators        Data Warehouse Developer        Application Developers        Support Engineer 课程大纲：         Introduction              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