Abstract— It must be simpler for the decision-maker to access vast volumes ofaccessible data sets in the information age. The use of standard methods andtechniques is highly demanding because big data applies to large andhigh-performance datasets. The essential and critical datasets need to bestudied and valued because of the subsequent growth in these broad files,handling and extraction solutions. Besides, decision-makers must collectvaluable information from this diversified information, which continuouslyvaries from regular sales to customer experiences. Only using data analysis canthese useful insights be provided. The implementation of Big Data methodologiesis incremental. This paper aims to analyse a few of the various approaches andexisting tools available for Big Data, the advantages offered by the use ofdata processing in different areas of comparison, and the potential ofpredictive analytics in those areas.
Keywords: Data Analysis, Big Data, Architecture, High VolumeData, Unstructured Data, Semi-Structured Data