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     Research Journal of Applied Sciences, Engineering and Technology


Exploitation Database Approach for Right On-line Analytical Processing

1Mehanna Aref and 2Hussein Bilal
1Faculty of Economics and Business Administration, Lebanese University, Aaley
2Institute of Technology, Lebanese University, Saida, Lebanon
Research Journal of Applied Sciences, Engineering and Technology  2016  11:1152-1162
http://dx.doi.org/10.19026/rjaset.12.2857  |  © The Author(s) 2016
Received: December ‎25, ‎2015  |  Accepted: March ‎1, ‎2016  |  Published: June 05, 2016

Abstract

In this study, a framework for building an Exploitation Database Approach (EDA) is provided. Suchan EDA requires tasks such as data warehouse change detection, EDA queries rebuilding and queries results delivering to all users across organization sites. For this purpose, we introduce an innovative approach for creating a new simple design, with high benefits, in order to manage and exploit On Line Analysis Processing (OLAP) queries and reporting information of OLAP applications across the overall organization sites without regard to latencies limitation and barriers. The latency requirements for delivering information span a wide range depending on specific business processes. Data Replication using EDA appears as a robust and perfect solution for eliminating requirements latencies in answering OLAP querying.

Keywords:

Business Intelligence (BI), Data Base (DB), Data Warehouse (DW), Exploitation Database Approach (EDA), On-Line Analytical Processing (OLAP),


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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