Cloud Computing: Needs Enabling Data Mining and Business Intelligent Applications

  • Adeel Munawar Department of Computer Science, Government College University (GCU), Lahore, Pakistan
Keywords: Business Intelligence (BI), MapReduce, Data Mining (DM), Hadoop, Hash function, Service-oriented Architecture (SOA), Service Line Agreement (SLA), Cloud Computing.


As a new computational paradigm, cloud computing is attracting a lot of interest from researchers in the field of the business community and information technology sector and it can integrate with several heterogeneous resources makes it distinguished and unique to fulfill the demands of different types of users. The rapid increase in data volume and fixed access to online resources, which is related to all departments need to mine data for the discovery of knowledge.  Its principal peculiarities incorporate a versatile asset design and along this line a suitable system for tending to be comprehended in an ideal mode. From the specific situations where cloud computing can be integrated, its use in business information and intelligence also conveys the highest aspirations from data mining to updates. This study gives an outline of the recent condition of the arrangement of Cloud Computing and elaborates, its implications in Business Intelligence and Data Mining. This study defines multiple layers that are expected to create such a framework in distinctive levels of deliberation, from the fundamental equipment stages to the product assets accessible to actualize the applications. At the end of this study, a few cases related to Data mining methodologies have been relocated to the Cloud Computing paradigm.

How to Cite
Adeel Munawar. (2021). Cloud Computing: Needs Enabling Data Mining and Business Intelligent Applications. Lahore Garrison University Research Journal of Computer Science and Information Technology, 5(1), 1-8.