Data warehousing is a method of organizing and compiling data into one database, whereas data mining deals with fetching important data from databases. Data mining attempts to depict meaningful patterns through a dependency on the data that is compiled in the data warehouse.
unit-1:
Data Warehousing and Business Analysis
unit-2:
Data Mining
unit-3:
Classification and Prediction
unit-4:
Cluster analysis
unit-5:
Mining Object, Spatial, Multimedia, Text and Web Data
unit-1:
Data Warehousing and Business Analysis: Data warehousing Components
–Building a Data warehouse
–Data Warehouse Architecture
– DBMS Schemas for Decision Support
– Data Extraction, Cleanup, and Transformation Tools
–Metadata
– reporting
– Query tools and Applications
– Online Analytical Processing (OLAP)
– OLAP and Multidimensional Data Analysis.
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