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Abstract

Digital technologies have revolutionized the way businesses are built and managed, requiring the development of new solutions and a diverse set of applications. Massive volumes of data are now easily accessible and database capacity has risen tremendously and data collection methods have altered. As a result, while mining big data, issues with regression, the analytical process, and the complexity of the large data all arise.To cope with the aforementioned issues a data analysis framework is proposed for various business decision-making processes which collects the data and saves in Hadoop, a java-based data management system that allows enormous amounts of data to be handled in parallel clusters without failure. Generally, node failures are not concentrated in data storage management systems. Consequently, data mining techniques are used in the design phase to obtain pertinent and essential vital information. Thus, the proposed framework efficiently provides data analytics for various decision making processes with improved accuracy.