Administer a Data Warehouse
With Oracle Database

Visão Geral do Treinamento
  • This course will help you understand the basic concepts of administering a data warehouse. You'll learn to use various Oracle Database features to improve performance and manageability in a data warehouse.

  • Implement partitioning.
  • Use parallel operations to reduce response time.
  • Extract, transform and load data.
  • Create, use and refresh materialized views to improve 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 rewrites.
  • Identify the benefits of partitioning, in addition to using parallel operations to reduce response time for data-intensive operations.

  • Expert instructors will also teach you how to extract, transform and load data into an Oracle database warehouse. Discover how to use SQL Access Advisor to optimize the entire workload. Use materialized views to improve data warehouse performance and learn how query rewrites can improve performance.

Público Alvo

  • Administrador de Data Warehouse
  • Administrador de Banco de Dados
  • Consultor Técnico

Carga Horária

  • 32 Horas


  • Ability to read and understand execution plans
  • Good working knowledge of SQL and in data warehouse design and implementation
  • Data Warehouse design, implementation, and maintenance experience


  • Aula expositiva e dinâmica com exercícios previamente desenvolvidos, mas não limitados a estes, podendo assim ser reproduzido cenários de interesse dos participantes.

No final do Treinamento o Aluno poderá

  • 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
  • Review the basic Oracle data warehousing concepts

Recursos Utilizados

  • Instrutor qualificado para o projeto
  • Material didático
  • Laboratório com infraestrutura adequada
  • Certificado na conclusão

Conteúdo Programático
  • Development Tools
  • Oracle SQL Developer
  • Enterprise Manager
  • Sample Schemas used
  • Characteristics of a Data Warehouse
  • Comparing OLTP and Data Warehouses
  • Data Warehouse Architectures
  • Data Warehouse Design
  • Data Warehouse objects
  • Data Warehouse Schemas
  • Optimizing Star Queries
  • Introducing Bitmap Join Indexes
  • Understanding Star Query Optimization and Bitmap Joined Index Optimization
  • Partitioned Tables and Indexes
  • Partitioning Methods
  • Partitioning Types
  • Partition Pruning and Star queries
  • Operations That Can Be Parallelized
  • How Parallel Execution Works
  • Degree of Parallelism
  • Parallel execution plan
  • Automatice Parallelism
  • Parallel Query
  • Parallel DDL
  • Parallel DML
  • Tuning Parameters for Parallel Execution
  • Balancing the Workload
  • 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
  • Loading Mechanisms
  • Applications of External Tables
  • Defining external tables with SQL*Loader
  • Populating external tables with Data Pump
  • Other Loading Methods
  • Data transformation
  • Transformation Mechanisms
  • Transformation Using SQL
  • Table Functions
  • DML error logging
  • The Need for Summary Management
  • Types of Materialized Views
  • Using Materialized Views for Summary Management
  • Materialized View Dictionary views
  • Refresh Options
  • Refresh Modes
  • Conditions That Effect Possibility of Fast Refresh
  • Materialized View Logs
  • Partition Change Tracking (PCT) Refresh
  • Refresh Performance Improvements
  • What Are Dimensions
  • Creating Dimensions and Hierarchies
  • Dimensions and Privileges
  • Dimension Restrictions
  • Verifying Relationships in a Dimension
  • Dimension Invalidation
  • 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
  • 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

Redes Sociais

Comentários de participantes

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