Abstract
Big data analytics is a set of advanced analytic techniques used against very large, miscellaneous data sets that include. Using advanced analytic techniques such as machine learning, Analytics like Text and Predictive, statistics, data mining, etc. Businesses can examine previously untouched data sources independently or together with their current enterprise data to gain new perceptions, resulting in faster and better decisions. In this research paper, the Hadoop platform provides an improved programming model that is used to create and run distributed systems quickly and efficiently to process high volumes of data. Big Data, i.e., terabytes to exabytes, consists of large datasets that cannot be managed efficiently by the common database management systems. Mobile phones, Credit cards, Radio Frequency Identification (RFID) devices, and social networking platforms create huge amounts of data that may reside unutilized on unknown servers for many years. However, with the evolution of Big Data, this data can be accessed and analysed regularly to generate useful information.
Keywords
References
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