DATA WAREHOUSE ARCHITCTURE AND DATA ANALYSIS TECHNIQUES

dc.contributor.authorKhachane, Vaishali
dc.date.accessioned2013-10-01T04:25:25Z
dc.date.available2013-10-01T04:25:25Z
dc.date.issued2013-10-01T04:25:25Z
dc.description.abstractA data warehouse is an architectural construct of an information system that provides users with current and historical decision support information that is hard to access or present in traditional operational systems. It is also an integrated set of products that enable the extraction and transformation of operational data to be loaded into a database for end-user analysis and reporting. It usually contains historical data derived from transaction data, but it includes data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from several sources. This paper presents concept of data warehousing, architecture of data warehouse and techniques of data analysis in data warehousing. Query and reporting, multidimensional, analysis, and data mining run the spectrum of being analyst driven to analyst assisted to data driven. Because of this spectrum, each of the data analysis methods affects data modeling.en_US
dc.identifier.urihttp://dspace.vpmthane.org:8080/jspui/handle/123456789/3171
dc.language.isoen_USen_US
dc.subjectDATA WAREHOUSE ARCHITCTURE AND DATA ANALYSIS TECHNIQUESen_US
dc.titleDATA WAREHOUSE ARCHITCTURE AND DATA ANALYSIS TECHNIQUESen_US
dc.typeArticleen_US
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