Big Data management is trending research that seeks to find a framework that will give support to decision makers in governments and enterprises organizations. For the rapid growth of data, dealing with Big Data with respect to management and finding new values has drawn attention recently. Strategies should be established together with the goals, vision, and objectives of an organization to manage Big Data. Big data management frameworks are the main components for the implementation of Big Data service. Many organizations that deals with Big Data have three critical problems, how to manage Big Data, how can Big Data create new values reference to its strategies and business needs, and how it can take the correct decision in the correct time. In this article, the authors propose a Big Data management framework that will handle all Big Data operation beginning with collecting data until making analysis and how new value can be created. The proposed framework also takes care of other factors such as organization strategies, governance, and security.

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Many enterprise organizations own a large amount of data but suffer from methods that can't deal with it. A lot of approaches were proposed to manage big data and get the most benefits out of it. This paper proposes a complete approach for modeling big data and creates new values from it. The proposed approach contains implementation for four layers that deal directly with big data. The layers are collection layer, processing layer, analysis and new value creation layer, presentation and decision support layer. The paper also presents a detailed comprehensive comparison between different approaches for managing big data. The results show that the proposed approach has achieved many objectives that may interest enterprise organizations.