OLAP, Data Mining, Warehousing, Data Marts.
Title: OLAP, Data Mining, Warehousing, Data Marts.
Category: /Science & Technology/Computers and Cybernetics
Details: Words: 734 | Pages: 3 (approximately 235 words/page)
OLAP, Data Mining, Warehousing, Data Marts.
Category: /Science & Technology/Computers and Cybernetics
Details: Words: 734 | Pages: 3 (approximately 235 words/page)
The technology that exists with Data Mining, Warehousing, Data Marts, and OLAP is comparatively a new term but the technology is not. Data Mining is the process of digging or gathering information from various databases. This includes data from point of sales transactions, credit card purchases, online forms which are just a few of the many things that some of the large companies dig to find out more about their clients. The information is used
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from the same data. It is not necessary to impose one view of data on all data marts to achieve consistency; it is usually possible to design consistent schemas and data formats that permit rich varieties of data views without sacrificing interoperability.
References
Agrawal, Imielinski, (1994). Mining association rules between sets of items in large databases
Holsheimer and. Siebes, (1994). Data Mining: The Search for Knowledge in Databases
Fayyad, Piatetsky-Shapiro. (1996). Advances in Knowledge Discovery and Data Mining