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课程大纲
   
 
  • 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

 

 
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