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What is Data Warehousing & Mining Revision Notes about?

The document outlines key concepts in data warehousing and data mining, comparing OLTP and OLAP systems, and detailing the architecture of data warehouses, including the ETL process. It discusses various data mining techniques such as classification, clustering, and association, along with specific algorithms like Apriori and K-Means. Additionally, it highlights applications of data mining and challenges faced in data warehousing, providing tips for effective revision.

Author

ffbangladesh648

Language

EN