Oracle 11g数据仓库管理培训
- 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：
Students learn about Oracle’s Database partitioning architecture and identify the benefits of partitioning. Students also use parallel operations to reduce response time for data-intensive operations. Participants extract, transform, and load data into an Oracle database warehouse. Students also use materialized views to improve the data warehouse performance. Students also learn how query rewrite can improve a query’s performance. Students use the SQL Access Advisor to optimize the entire workload. Finally, students learn how to tune materialized views for fast refresh and query rewrite and how to use the compression and resumable sessions features.
Learn to:
Implement partitioning
Use parallel operations to reduce response time
Extract, Transform, and Load data
Create, use, and refresh materialized views to improve the data warehouse performance
Use Query rewrite to quickly answer business queries using materialized views
Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
课程对象：
Application Developers
Data Warehouse Administrator Data Warehouse Developer Database Administrators Support Engineer
Technical Consultant
课程长度：3天
最新时间：定制课程(内训)，人满开班(公开课)
课程大纲：
•Oracle SQL Developer
•Enterprise Manager
•Sample Schemas used
Data Warehouse Design: Overview
•Characteristics of a Data Warehouse
•Comparing OLTP and Data Warehouses
•Data Warehouse Architectures
•Data Warehouse Design
•Data Warehouse objects
•Data Warehouse Schemas
Data Warehouse Tuning Considerations
•Optimizing Star Queries
•Introducing Bitmap Join Indexes
•Understanding Star Query Optimization and Bitmap Joined Index Optimization
Partitioning Basics
•Partitioned Tables and Indexes
•Partitioning Methods
•Partitioning Types
•Partition Pruning and Star queries
Parallelism Concepts
•Operations That Can Be Parallelized
•How Parallel Execution Works
•Degree of Parallelism
•Parallel execution plan
•Automatice Parallelism
Parallel Operations in Data Warehouses
•Parallel Query
•Parallel DDL
•Parallel DML
•Tuning Parameters for Parallel Execution
•Balancing the Workload
ETL: Extraction and Transportation
•Extraction Methods
•Capturing Data With Change Data Capture
•Sources and Modes of Change Data Capture
•Publish and Subscribe Model: The Publisher and the Subscriber
•Synchronous and Asynchronous CDC
•Asynchronous AutoLog Mode and Asynchronous HotLog Mode
•Transportation in a Data Warehouse
•Transportable Tablespaces
ETL: Loading
•Loading Mechanisms
•Applications of External Tables
•Defining external tables with SQL*Loader
•Populating external tables with Data Pump
•Other Loading Methods
ETL: Transformation
•Data transformation
•Transformation Mechanisms
•Transformation Using SQL
•Table Functions
•DML error logging
Materialized Views
•The Need for Summary Management
•Types of Materialized Views
•Using Materialized Views for Summary Management
•Materialized View Dictionary views
Refreshing Materialized Views
•Refresh Options
•Refresh Modes
•Conditions That Effect Possibility of Fast Refresh
•Materialized View Logs
•Partition Change Tracking (PCT) Refresh
•Refresh Performance Improvements
Working With Dimensions
•What Are Dimensions
•Creating Dimensions and Hierarchies
•Dimensions and Privileges
•Dimension Restrictions
•Verifying Relationships in a Dimension
•Dimension Invalidation
Query Rewrite
•Query Rewrite: Overview
•What Can be Rewritten
•Conditions Required for Oracle to Rewrite a Query
•Query Rewrite guidelines
•Setting Initialization Parameters for Query Rewrite
•Query Rewrite Methods
•Partition Change Tracking (PCT) and Query Rewrite
•Query Rewrite Enhancement to Support Queries Containing Inline Views
Using the SQL Access Advisor, Compression, and Resumable Sessions
•SQL Access Advisor: Usage Model
•Setting Initial Options
•Specifying the Workload Source
•Recommendation Options
•Schedule and Review
•PL/SQL Procedure Flow
•Tuning Materialized Views for Fast Refresh and Query Rewrite
•Table Compression and Resumable Sessions
