Oracle数据仓库最佳实践培训
- Oracle 数据仓库与数据挖掘培训课程目录
- Oracle数据仓库培训
- Oracle 11g数据仓库管理培训
- Oracle数据仓库最佳实践培训
- Oracle数据挖掘技术培训
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
课程长度：1天
最新时间：定制课程(内训)，人满开班(公开课)
课程大纲：
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
