Schulung/Seminar: Oracle Database 11g: Administer a Data Warehouse

Seminar-ID:	D70064	Beschreibung
Preis:	EUR 2360,- zzgl. Mwst.	Angebot
Dauer:	4 Tage	Buchung

Lerninhalte
Teilnehmerkreis
Vorkenntnisse
Kursziel
Sachgebiete
Aktuelle Termine
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Lerninhalte

Introduction
• Development Tools
• Oracle SQL Developer
• Enterprise Manager
• Sample Schemas used

Data Warehouse Design: Overview
• What is a Data Warehouse?
• Characteristics of a Data Warehouse
• Comparing OLTP and Data Warehouses
• Data Warehouse Architectures
• Data Warehouse Design
• Data Warehouse objects
• Data Warehouse Schemas
• Star Transformation

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

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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Teilnehmerkreis

Data Warehouse-Administrator
Technischer Berater
Datenbankadministratoren
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Vorkenntnisse

• Good working knowledge of data warehouse design
• Ability to read and understand execution plans
• Good working knowledge of SQL and in data warehouse design and implementation
• Good working knowledge of SQL
• Oracle Database 11g: Administration Workshop I Neu

Empfohlene Vorkenntnisse:
• Oracle 10g: Data Warehousing Fundamentals
• Oracle Database 11g: Performance Tuning
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Kursziel

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.
Learn to:

• Implement partitioning
• Use parallel operations to reduce response time
• Extract, Transform, and Load data
• Create, use, and refresh materialized views to improve the data warehouse performance
• Use Query rewrite to quickly answer business queries using materialized views
• Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
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Sachgebiete

• Review the basic Oracle data warehousing concepts
• Use parallel operations to reduce response time for data-intensive operations
• Extract, Transform, and Load data in the data warehouse
• Create, use, and refresh materialized views to improve the data warehouse performance
• Use Query rewrite to quickly answer business queries using materialized views
• Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
• Use the features of compression and resumable sessions
Top

Termine

30.08.2010	München
05.10.2010	Düsseldorf
29.11.2010	München

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