A Framework for Big Data Analytics as a Scalable Systems

-------------------------------------------------------------------ABSTRACT------------------------------------------------------------Rapid technological advancements in recent technologies have led to inundation of data from diverse domains like scientific generated data, web, business intelligence and medical science over the past few years. The concept of big data was put to capture the meaning of this emerging vision. In comparison to the traditional data, big data exposes other unique characteristics apart from its massive volume. For instance, big data is fully distributed and unstructured. This emerging trend forces to create a new architecture for data acquisition, transmission, storage and analytics. In this paper, we present a framework for big data analytics in the form of a scalable systems aiming to provide an overall dimensions of big data system and thus to advance the big data challenges. First, we present a definition and background of big data. Next, we present a framework to define the architecture of big data. Finally, we delineate the challenges and future work to be carried out for big data systems.