Bigdata analysis and comparison of bigdata analytic approches

Abstract

Recent technological advancements in typical domains (e.g. internet, financial companies, health care, user generated data, supply chain systems etc.) have directed to inundate of data from these domains. Data outburst trend gave the insight meaning to the buzz word ‘Bigdata’. If we compare with traditional data, Bigdata exhibits some unique characteristics like it is commonly enormous and unstructured type of data that cannot be handled using traditional databases. Hence new system designs are required for the following processes i.e. data collection, data transmission, storage, and large-scale data processing mechanisms. The definition of Bigdata has been presented from many aspects in this paper. We analyzed Bigdata system architecture and various challenges of Bigdata. The prevalent Hadoop framework, Hive, No SQL, New SQL, MapReduce and HBase for addressing the biggest challenge of Bigdata i.e Data Analytic has also been analyzed and compared.