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 课程大纲：             •Development Tools             •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