Hadoop as a Service On premise Vs over Cloud
Data processing and analysis has become difficult due the increase in data availability. Traditional methods are inefficient in handling it. So, the need is to analyze and process data in a parallel way. Haddoop solved the problem to some extent but it is difficult to be deployed and require upgraded hardware requirements. This paper proposed a framework for providing support of Hadoop as Service. An algorithm is implemented for data identification and lastl the proposed framework is compared with current system on certain parameters.
Database, Distributed, Centralized, Haddoop, Hadoop as service, Data Identification