UNIT I (12 Hours) Introduction – Definition – Multidimensional data model – OLAP operations – Warehouse Schema – Data Warehousing Architecture – Warehouse server – Metadata – Data Warehouse Backend process – Other Features. This course also introduces overview of data warehousing and its features. DATA MINING & DATA WAREHOUSING Class : MCA Part : Core -19 Semester :V Hours : 60 Subject Code : 15PCAD95 Credit : 3 Objective Aim of the course is to understand the basic concepts of data mining and various techniques of data mining such as classification, association rules, clustering, regression and its applications.
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