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Data Warehousing

Course Description and Prerequisites:

This class will introduce the student to concepts needed for successfully designing, building and implementing a data warehouse. The class will provide the technological and managerial knowledge base for data modeling approaches such as the star schema and database de-normalization issues. Topics such as loading the warehouse, performance considerations, and other concepts unique to the data warehouse environment will be discussed and demonstrated in detail. This course will include a laboratory component.
Experience with relational databases and familiarity with basic programming concepts and SQL are required

Course Outline:
  1. Introduction to Business Intelligence and Corporate Information

  2. Information to the Corporate Information Factory, The Data wareouse component, The external world component

  3. Introduction to Dimensional Modeling

  4. Multidimensional Model, Data wareouse requirements, Basic dimensional modeling techniques

  5. Advanced Dimensional Modeling

  6. Star and snowflake schemas, Extended dimension table designs, Extended fact table designs

  7. Building Dimensional Models

  8. Data warehouse management, Data warehouse bus architecture matrix, Managing the dimensional project

  9. Implementation of the data warehouse component

  10. Aggregation goals and risks, Aggregation developement, Aggregation navigation

  11. Physical design, Indexing, Physical storage

  12. Standards, Indexing and Physical storage structure

  13. Data extraction, transformation and loading(ETL)

  14. Operational Data Store, Data Staging and ETL Strategies

  15. End User applications and Online analytical processing

  16. The application component, Decision support

  17. Data warehouse lifecycle and project management

  18. Developement and maintanence process, The business dimensional lifecycle, Data warehouse project management and data warehouse processes

  19. Data warehouse architectures and back room functions

  20. Back room Functions and Architecture, Data storage, Managing the corporate information factory, Enterprise framework

  21. Infrastructure and Metadata

  22. Metadata repositories, security, Data warehouse infrastructure and environment security, Data warehouse metadata

Instructor
Bob Hendry
Credit 4.5 CEU





Data Warehousing


Information & Registration:
To register or for additional information contact us by phone or email
Chicago or Wheaton 630-682-6035 
reif@iit.edu
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