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班級規(guī)模及環(huán)境--熱線:4008699035 手機(jī):15921673576( 微信同號) |
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每期人數(shù)限3到5人。 |
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上課時間和地點(diǎn) |
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上課地點(diǎn):【上海】:同濟(jì)大學(xué)(滬西)/新城金郡商務(wù)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(xué)成教院 【北京分部】:北京中山學(xué)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(lǐng)館區(qū)1號(中和大道) 【沈陽分部】:沈陽理工大學(xué)/六宅臻品 【鄭州分部】:鄭州大學(xué)/錦華大廈 【石家莊分部】:河北科技大學(xué)/瑞景大廈 【廣州分部】:廣糧大廈 【西安分部】:協(xié)同大廈
最近開課時間(周末班/連續(xù)班/晚班):2020年3月16日 |
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實(shí)驗設(shè)備 |
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質(zhì)量保障 |
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1、培訓(xùn)過程中,如有部分內(nèi)容理解不透或消化不好,可免費(fèi)在以后培訓(xùn)班中重聽;
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課程大綱 |
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課程介紹:
In this course, participants learn about the best practices for implementing an enterprise data warehouse. Participants identify the hardware elements that influence the throughput and learn how to build a balanced hardware configuration. Participants also review the two classic models: Third normal form (3NF) and star schema and learn how to optimize both models. Participants learn how to convert the logical model into a suitable physical model. Participants also learn how to load data efficiently into the data warehouse and how to use partition exchange load and data compression during the ETL process to improve performance. Finally, participants learn to manage the system workload and resources, to ensure an Enterprise Data Warehouse can run at optimal performance, and explains how parallel execution enables them to fully utilize the system. In addition, participants describe how to gather statistics efficiently.
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Learn To:
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Describe how to build a balanced hardware configuration
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Discuss and apply the two classic models, the third normal form (3NF) or star schema
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Describe how to convert the logical model into the suitable physical model
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Describe the various methods to load data efficiently into the data warehouse
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Use partition exchange load and data compression during staging to improve performance
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Manage the system workload and resources
課程對象:
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Data Warehouse Administrator
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Database Administrators
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Data Warehouse Developer
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Application Developers
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Support Engineer
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課程大綱:
??????? Introduction
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Prerequisites and Suggested Prerequisites
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Questions About You
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Course Objectives
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Course Agenda
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Sample Schemas Used in the Course
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The Sales History (SH) Schema
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Oracle 11g SQL and Data Warehousing Guide Documentation
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Additional Resources: Oracle By Example (OBE)
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Building a Balanced Hardware Configuration
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Maintaining High Throughput
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Balanced System
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Components of Hardware Configuration
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Example of a Balanced System: 4-Node RAC Environment
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Data Warehouse Hardware Configuration: Best Practices
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Disk Layout and Design
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Implementing S.A.M.E. Using ASM and Hardware Mirroring
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Data Warehouse Logical and Physical Design
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Data Warehouse Models: 3NF and Star
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Industry Best Practices: When to Use Each Model
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The Typical Blueprint of Physical Layers in a Data Warehouse Environment
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Optimizing 3rd Normal Form: Power, Partitioning, Parallelism
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Partitioning Strategies Example: Composite Range-Hash Partitioning
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Partition Pruning
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Partition Wise Join
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Optimizing Star Queries: Star Transformation
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Loading Data: Best Practices
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Loading Data into the Warehouse
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The Three Layers of ETL
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Data Loading Methods in a Data Warehouse
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Loading Data from Flat Files into the Data Warehouse Using External Tables
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Pre-Processing in an External Table
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Using Direct Path Load
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Partition Exchange Loading
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Tips for Data Loading: File Size and Formats, Compression, and Statistics
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Managing the System Workload and Resources
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System Management: Keeping the Lights On for Your Data Warehouse
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Scanning a Table in Parallel
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SQL Parallel Execution: Overview
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Parallel Execution In Action
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General Rules on When to Use Parallel Execution
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Workload Monitoring Using (G)V$ Views or Oracle EM 11g
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Oracle Resource Manager
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Gathering Statistics
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