Course Description:

            This course deals with fundamentals of data warehousing, data warehousing architecture, data warehouse technology and data mining concepts.

Chapter-1: Data Warehousing

            Fundamentals, Building the data warehouse, frame work, applications, critical success factors, methodology

Chapter-2: Data Warehouse Architecture

            Components, scope, assessing risk, technical complexity, different architectures, database design

Chapter-3: Data Warehouse Technology

            Parallel processing, parallel database engines, copy management technology, meta data management technology, data quantity, data access and exploitation- future trends.

Chapter-4: Data Mining

            Introduction- uses- steps involved- models- the process- data preparation- data derivation – study definition- building a model- prediction- data mining through data warehousing, industry applications, future trends.

Reference Books:

  1. Sean Kelly, “ Data warehousing in action”, John Wiley & Sons Inc, 1997
  2. Robert Groth, “ Data Mining”, Prentice Hall PTR, 1998
  3. Kimball and Ralph, “ Data Warehousing”, John Wiley & Sons Inc, 1996