People Innovation Excellence

DATA WAREHOUSE (2/1 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Identify the basic concepts, components, environment, architecture and technologies of data warehouse; Explain the requirements and how to design data warehouse; Analyze collection of data and techniques for processing the data in data warehouse; Analyze the strategy of design and implement data warehouse appropriate to the need.

Topics:

  1. Data Warehousing Concepts;
  2. Migration to the Architected Environment;
  3. Project Collection;
  4. The Data Warehouse Environment;
  5. Granularity in the Data Warehouse; T
  6. he Data Warehouse and the Web;
  7. The Data Warehouse Environment;
  8. The Data Warehouse and the Web;
  9. Data Warehousing Design;
  10. OLAP;
  11. The Relational and the Multidimensional Models as a Basis for Database Design;
  12. The Data Warehouse and the ODS;
  13. The Data Warehouse and Technology;
  14. External Data and the Data Warehouse;
  15. Unstructured Data and the Data Warehouse;
  16. The Distributed Data warehouse;
  17. Data Warehousing Design;
  18. Quiz and The Relational and the Multidimensional Models as a Basis for Database Design;
  19. The Data Warehouse and the Web (2).

Published at : Updated

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