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Big Data systems are often composed of information extraction, preprocessing, processing, ingestion and integration, data analysis, interface and visualization components. Different big data systems will have different requirements and as such apply different architecture design configurations. Hence a proper architecture for the big data system is important to achieve the provided requirements. Yet, although many different concerns in big data systems are addressed the notion of architecture seems to be more implicit. In this paper…

Big data is used on an extensive scale for accomplishing a plethora of objectives such as prevention of credit card frauds, intervention, and anticipation of hardware failures. It is also useful in the rerouting of traffic to avoid congestion. With the aid of real-time applications and interactions of big data, you will be able to guide your customers. Firstly i would like you to have a read on What is Big Data? How we contribute…