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| Titel: |
A STUDY ON DESIGN AND ANALYSIS OF WEB MART MINING AND ITS RELEVANCE TODAY |
| Auteur: |
Ravikumar G K, Manjunath T. N, Ravindra S. Hegadi, Archana R A |
| Verschenen in: |
International journal of engineering science and technology |
| Paginering: | Jaargang 3 (2011) nr. 4 pagina's 3141-3152 |
| Jaar: |
2011 |
| Inhoud: |
Data warehousing is one of the latest trends in computing environment and information technology applications. A data warehouse is a system that extracts, cleans and delivers source data into dimensionaldata store and then supports and implements querying and analysis for the purpose of decision making. From a data warehouse, data flows to various departments for their customized decision support systems.These individual departmental components are called data marts. A data mart is a set of dimensional tables supporting a business process. Data marts contain all atomic detail needed to support drilling down to the lowest level. Every company or organization in the world has a website. Beneath each web site are web logs that record every object either posted to or served from the web server. Web logs are important because they reveal the user traffic on the web site. The activity of parsing web logs and storing the results in a data mart to analyze customer activity is known as click stream data warehousing. The web mart - database schema is designed to make the underlying data structure more comprehensible to users and to simplify the query process. The recommended approach for data warehouse data modeling is to follow a Dimensional Modeling approach - Star Schema. We explore the design and analysis of web mart and its relevance today at minute level. |
| Uitgever: |
Engg Journals Publication (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 25 van 122 gevonden artikelen
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