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Developing an Efficient Model for Building Data Warehouse Using Mobile Agent
Author(s) -
Tarig Mohammed Ahmed,
Mohammed Hassan Fadhul
Publication year - 2016
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2016.09.02
Subject(s) - computer science , data warehouse , profitability index , warehouse , database , big data , mobile agent , data mining , distributed computing , business , marketing , finance
Data-warehouse is an emerging technology with great potential. Nowadays, businesses are co mpeting fiercely to dominate the market where profitability is promising using every availab le means to reach their goal. Performance and storage are big challenges in build ing data-warehouse focusing by researchers recent years. In this paper a new model for developing an efficient data warehouse by using mobile agent technology has been proposed. The main idea behind this model is to use the mobile agent to extract and analy ze operational data in their location. So, instead of using ETL, the mob ile agent will be used. After the mobile agent comp leting its journey among operational databases, all tasks of ETL will be performed. By this way no need h igh storage med ia to extract the data from the operational database. As cost of time, the model proves less consuming of t ime. The model has been implemented using .Net Framework and C# and the results have been presented and discussed. Index Terms—Data-warehouse, Performance, Storage, Mobile Agent.

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