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 班級規(guī)模及環(huán)境--熱線:4008699035 手機: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 |
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上課地點：【上海】：同濟大學(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：
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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.
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Learn to:
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Implement partitioning
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Use parallel operations to reduce response time
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Extract, Transform, and Load data
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Create, use, and refresh materialized views to improve the data warehouse performance
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Use Query rewrite to quickly answer business queries using materialized views
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Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
課程對象：
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Application Developers
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Data Warehouse Administrator Data Warehouse Developer Database Administrators Support Engineer
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Technical Consultant
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課程大綱：
??????????? ?Development Tools
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?Oracle SQL Developer
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?Enterprise Manager
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?Sample Schemas used
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Data Warehouse Design: Overview
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?Characteristics of a Data Warehouse
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?Comparing OLTP and Data Warehouses
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?Data Warehouse Architectures
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?Data Warehouse Design
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?Data Warehouse objects
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?Data Warehouse Schemas
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Data Warehouse Tuning Considerations
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?Optimizing Star Queries
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?Introducing Bitmap Join Indexes
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?Understanding Star Query Optimization and Bitmap Joined Index Optimization
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Partitioning Basics
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?Partitioned Tables and Indexes
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?Partitioning Methods
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?Partitioning Types
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?Partition Pruning and Star queries
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Parallelism Concepts
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?Operations That Can Be Parallelized
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?How Parallel Execution Works
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?Degree of Parallelism
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?Parallel execution plan
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?Automatice Parallelism
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Parallel Operations in Data Warehouses
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?Parallel Query
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?Parallel DDL
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?Parallel DML
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?Tuning Parameters for Parallel Execution
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?Balancing the Workload
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ETL: Extraction and Transportation
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?Extraction Methods
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?Capturing Data With Change Data Capture
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?Sources and Modes of Change Data Capture
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?Publish and Subscribe Model: The Publisher and the Subscriber
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?Synchronous and Asynchronous CDC
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?Asynchronous AutoLog Mode and Asynchronous HotLog Mode
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?Transportation in a Data Warehouse
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?Transportable Tablespaces
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ETL: Loading
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?Loading Mechanisms
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?Applications of External Tables
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?Defining external tables with SQL*Loader
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?Populating external tables with Data Pump
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?Other Loading Methods
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ETL: Transformation
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?Data transformation
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?Transformation Mechanisms
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?Transformation Using SQL
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?Table Functions
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?DML error logging
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Materialized Views
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?The Need for Summary Management
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?Types of Materialized Views
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?Using Materialized Views for Summary Management
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?Materialized View Dictionary views
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Refreshing Materialized Views
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?Refresh Options
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?Refresh Modes
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?Conditions That Effect Possibility of Fast Refresh
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?Materialized View Logs
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?Partition Change Tracking (PCT) Refresh
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?Refresh Performance Improvements
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Working With Dimensions
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?What Are Dimensions
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?Creating Dimensions and Hierarchies
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?Dimensions and Privileges
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?Dimension Restrictions
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?Verifying Relationships in a Dimension
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?Dimension Invalidation
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Query Rewrite
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?Query Rewrite: Overview
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?What Can be Rewritten
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?Conditions Required for Oracle to Rewrite a Query
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?Query Rewrite guidelines
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?Setting Initialization Parameters for Query Rewrite
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?Query Rewrite Methods
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?Partition Change Tracking (PCT) and Query Rewrite
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?Query Rewrite Enhancement to Support Queries Containing Inline Views
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Using the SQL Access Advisor, Compression, and Resumable Sessions
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?SQL Access Advisor: Usage Model
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?Setting Initial Options
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?Specifying the Workload Source
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?Recommendation Options
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?Schedule and Review
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?PL/SQL Procedure Flow
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?Tuning Materialized Views for Fast Refresh and Query Rewrite
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?Table Compression and Resumable Sessions
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