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Survey on Process in Scalable Big Data Management Using Data Driven Model Frame Work

Dr. G.V. Sam Kumar

Data in rapid evolution scalable huge volume with multiple heterogeneous sources in all domains. The data grows expanding continue to grow as firms seek to integrate more source. The Big Data is been characterized increasing volume in the order of zetta bytes and their data generation velocity which shall climb market size upto 53.7 billion in 2017. The data objects need a scheme of efficiency modeling with security over the massive with vast distribution. This paper present the data driven frame work model processing on heterogeneous property of data characterized in scaling data encourages data demand routing data on validating security concerns with the distributed data. The higluc data driven model characterized the features of data revolution with processing data scaling and routing data immediately on validating privacy concerns proposed significantly outperform the state of processing.