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Training Center MUKКурсыOracleDatabaseOracle Database 11g: Аналитические Функции SQL В Хранилищах Данных

Oracle Database 11g: Administer a Data Warehouse

Course code
MUK-OSQLWH
Duration
1 Days, 8 Acad. Hours
Course Overview
Objectives
Prerequisites
Course Outline
Course Overview

Course overview

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.

Learn To:

  • 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.

Benefits To You

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.

Objectives

Course Objectives

  • 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
Prerequisites

Required Prerequisite

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

Audience

  • Administrator
  • Database Administrator
  • Developer
  • Implementer
Course Outline

Course Topics

  1. Introduction
  2. Data Warehouse Design: Overview
  3. Data Warehouse Tuning Considerations
  4. Partitioning Basics
  5. Parallelism Concepts
  6. Parallel Operations in Data Warehouses
  7. ETL: Extraction and Transportation
  8. ETL: Loading
  9. ETL: Transformation
  10. Materialized Views
  11. Refreshing Materialized Views
  12. Working With Dimensions
  13. Query Rewrite
  14. Using the SQL Access Advisor, Compression, and Resumable Sessions
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Oracle Database 11g: Administer a Data Warehouse
Course code:
MUK-OSQLWH
Duration:
1 Days, 8 Acad. Hours
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