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Business intelligence solutions for processing huge data to the business user's using dashboards

Authors :
M. Suneetha
Ch. Nanda Krishna
Source :
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES).
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

A new era of Business Intelligence Applications has started in-order to solve the problems of Relational Database Management System (RDBMS). If the data is coming from different sources, the data couldn't be sent to any one of the target RDBMS. To overcome this problem BI Apps evolved, i.e. applying ETL (Extraction Transformation and Loading) on different schemas, flat files and many other sources the data need to be transformed into target area. Then the tasks (mappings) were developed and scheduled, the data need to be monitored in-order to load into target area. Finally the data is represented using pictorial representations on the dashboard pages. These dashboard pages consists of statistical representations like pie, pivot, horizontal, vertical bars so that the growth of business can be evaluated by the CEO's.

Details

Database :
OpenAIRE
Journal :
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)
Accession number :
edsair.doi...........15d9bf979267811b982070dd22785886
Full Text :
https://doi.org/10.1109/scopes.2016.7955727