Abstract
With the rapid advancements in technological applications have led to the flooding of data from various sources like web, social network data, business data, medical records, etc. over the preceding years. As compared to traditional data, big data reveals a unique characteristic from its three V’s which means big data is unstructured. In this era, the emerging trend requires the involvement of advanced data analysis, acquisition and management techniques to mine and collect appropriate data in a structured way. In this paper, we describe the definitions and the challenges of big data systems. Next, a systematic framework decomposes the architecture of big data systems into four stages like data generation, data acquisition, data storage and data analytics. These stages form the basis of big data value chain. Finally, some solutions are discussed to tackle the challenges of big data and future attention is required for big data systems.
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