Learning Data Mining and Data Warehousing

This book Learning Data Mining and Data Warehousing covers all aspects of data warehousing and mining in an easy to read and understand manner. It covers a varios topics such as data warehousing and its benefits; architecture of data warehouse; data mart data warehousing design strategies dimensional modeling and features of a good dimensional model; different types of schemas such as star schema snowflake schema; fact tables and dimension tables; concept of primary key surrogate keys and foreign keys; ETL process; different types of data extraction such as immediate data extraction and deferred data extraction; Online Analytical Processing (OLAP) and need for online analytical processing etc. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification associate mining and cluster analysis are discussed in detail with their practical implementation.