Cognitive Data Partitioning and Analysis using Hive and Neo4j Server

ABSTRACT Data processing archetypes have been customized with the advent of new techniques in the area of database management. The management of bulky datasets has posed a big question in front of enterprises. The major issue arises when specific information needs to be driven out of large database. Along with time restrictions, the organizations have to deal with the issues of competence, performance and prominent infrastructure expenditure in the data processing in the competitive surroundings. Using Hadoop and MapReduce architecture these large companies could trounce the predicament of retrieving appropriate information from large data repository. This paper is focused on processing of raw information using partitioning technique of hive, getting the relevant details out and analyzing it using Neo4j server.