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From Data Warehouse to Pattern Warehouse:A Progressive Step


Affiliations
1 Dept. of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India
 

Data management has always been a serious issue. The rate at which the data is growing at every time instance, each small and big organization has to incorporate proper repositories and management systems within their organizations to handle such data. New kinds of repositories are being introduced as the demand of analysis of data is generated. Data warehouses are capable to store huge data in multidimensional way and analysis can also be performed over it. But due to certain challenges, this repository is also not the best solution to the problem. To deal with this issue, the concept of pattern warehouses is being introduced. This paper reveals the journey of the management aspect of data from data warehouse to pattern warehouse.

Keywords

Data Management, Data Mining, Data Warehouse, Patterns, Pattern Warehouse.
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  • From Data Warehouse to Pattern Warehouse:A Progressive Step

Abstract Views: 160  |  PDF Views: 0

Authors

Vishakha Agarwal
Dept. of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India
Akhilesh Tiwari
Dept. of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India

Abstract


Data management has always been a serious issue. The rate at which the data is growing at every time instance, each small and big organization has to incorporate proper repositories and management systems within their organizations to handle such data. New kinds of repositories are being introduced as the demand of analysis of data is generated. Data warehouses are capable to store huge data in multidimensional way and analysis can also be performed over it. But due to certain challenges, this repository is also not the best solution to the problem. To deal with this issue, the concept of pattern warehouses is being introduced. This paper reveals the journey of the management aspect of data from data warehouse to pattern warehouse.

Keywords


Data Management, Data Mining, Data Warehouse, Patterns, Pattern Warehouse.