 班级人数--热线:4008699035 手机:15921673576( 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】：北京中山学院/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）：2020年3月16日 |
| 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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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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