班级人数--热线:4008699035 手机:15921673576/13918613812( 微信同号) |
增加互动环节,
保障培训效果,坚持小班授课,每个班级的人数限3到5人,超过限定人数,安排到下一期进行学习。 |
授课地点及时间 |
上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【广州分部】:广粮大厦 【西安分部】:协同大厦 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦
开班时间(连续班/晚班/周末班):即将开课,详情请咨询客服。(欢迎您垂询,视教育质量为生命!) |
课时 |
◆资深工程师授课
☆注重质量
☆边讲边练
☆若学员成绩达到合格及以上水平,将获得免费推荐工作的机会
★查看实验设备详情,请点击此处★ |
质量以及保障 |
☆
1、如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
☆ 2、在课程结束之后,授课老师会留给学员手机和E-mail,免费提供半年的课程技术支持,以便保证培训后的继续消化;
☆3、合格的学员可享受免费推荐就业机会。
☆4、合格学员免费颁发相关工程师等资格证书,提升您的职业资质。 |
☆课程大纲☆ |
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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
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