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Effective Configurational Approach in Big Data Management for Managing Organizational Data

From the past three decades, we have experienced a huge flood of information from multiple sources for innovative applications. We have also experienced in many situations that the information is unstructured and needs techniques to normalize them. In this context, many latest computational techniques have evolved to manage Big Data in a more efficient manner and maintain data structurally. In this paper, we portray the definitions and the difficulties of enormous information frameworks. Next, an orderly structure breaks down the design of enormous information frameworks into four phases like information age, information procurement, information stockpiling, and information investigation. These stages structure the premise of a huge information esteem chain. At long last, a few arrangements are talked about to handle the difficulties of large information, and future consideration is required for huge information frameworks.