 班級人數--熱線:4008699035 手機:15921673576( 微信同號) |
| 增加互動環節，
保障培訓效果，堅持小班授課，每個班級的人數限3到5人，超過限定人數,安排到下一期進行學習。 |
| 授課地點及時間 |
上課地點：【上海】：同濟大學(滬西)/新城金郡商務樓(11號線白銀路站) 【深圳分部】：電影大廈(地鐵一號線大劇院站)/深圳大學成教院 【北京分部】：北京中山學院/福鑫大樓 【南京分部】：金港大廈(和燕路) 【武漢分部】：佳源大廈（高新二路） 【成都分部】：領館區1號（中和大道） 【廣州分部】：廣糧大廈 【西安分部】：協同大廈 【沈陽分部】：沈陽理工大學/六宅臻品 【鄭州分部】：鄭州大學/錦華大廈 【石家莊分部】：河北科技大學/瑞景大廈
開班時間(連續班/晚班/周末班）：2020年3月16日 |
| 課時 |
◆資深工程師授課
☆注重質量
☆邊講邊練
☆若學員成績達到合格及以上水平，將獲得免費推薦工作的機會
★查看實驗設備詳情，請點擊此處★ |
| 質量以及保障 |
☆
1、如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
☆ 2、在課程結束之后,授課老師會留給學員手機和E-mail,免費提供半年的課程技術支持，以便保證培訓后的繼續消化；
☆3、合格的學員可享受免費推薦就業機會。
☆4、合格學員免費頒發相關工程師等資格證書，提升您的職業資質。 |
☆課程大綱☆ |
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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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