Oracle Database 11g: Data Warehousing Fundamentals

Duration : 3 Days

What you will learn

This Oracle Database 11g: Data Warehousing Fundamentals training will teach you about the basic concepts of a data warehouse. Explore the issues involved in planning, designing, building, populating and maintaining a successful data warehouse.

Learn To:

  • Define the terminology and explain basic concepts of data warehousing.
  • Identify the technology and some of the tools from Oracle to implement a successful data warehouse.
  • Describe methods and tools for extracting, transforming and loading data.
  • Identify some of the tools for accessing and analyzing warehouse data.
  • Describe the benefits of partitioning, parallel operations, materialized views and query rewrite in a data warehouse.
  • Explain the implementation and organizational issues surrounding a data warehouse project.
  • Improve performance or manageability in a data warehouse using various Oracle Database features.

Oracle’s Database Partitioning Architecture

You'll also explore the basics of Oracle’s Database partitioning architecture, identifying the benefits of partitioning. Review the benefits of parallel operations to reduce response time for data-intensive operations. Learn how to extract, transform and load data (ETL) into an Oracle database warehouse.

Improve Data Warehouse Performance

Learn the benefits of using Oracle’s materialized views to improve the data warehouse performance. Instructors will give a high-level overview of how query rewrites can improve a query’s performance. Explore OLAP and Data Mining and identify some data warehouse implementations considerations.

Use Data Warehousing Tools

During this training, you'll briefly use some of the available data warehousing tools. These tools include Oracle Warehouse Builder, Analytic Workspace Manager and Oracle Application Express.

Audience

  • Application Developers
  • Data Warehouse Administrator
  • Data Warehouse Analyst
  • Data Warehouse Developer
  • Developer
  • Functional Implementer
  • Project Manager
  • Support Engineer

Related Training

Suggested Prerequisites

  • Knowledge of client-server technology
  • Knowledge of general data warehousing concepts
  • Knowledge of relational server technology

Course Objectives

  • Describe methods and tools for extracting, transforming, and loading data
  • Identify some of the tools for accessing and analyzing warehouse data
  • Identify the technology and some of the tools from Oracle to implement a successful data warehouse
  • Define the decision support purpose and end goal of a data warehouse
  • Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse
  • Explain the implementation and organizational issues surrounding a data warehouse project
  • Use materialized views and query rewrite to improve the data warehouse performance
  • Define the terminology and explain the basic concepts of data warehousing
  • Develop familiarity with some of the technologies required to implement a data warehouse

Course Outline :

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Testimonials

Thank you EZY Intellect and Trainer for your support to become an Oracle Certified Professional

thumb Mr. Tint Aung Shwe
Assistant Manager (IT Department)-AYA Bank,August 29, 2017

This training helped me identify clear and do-able next steps toward my goal. Thank you EZY Intellect and Mr.Kushantha ( EC-Council Certified Trainer) for very valuable training.

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CEH V10,21,22,23,29,30 Sep 2018