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Big data has become the life blood of the organizations. The organizations are able to understand that if they are able to capture all the data that is streams into their businesses, then they can apply insight to get valuable information. The thought of data creating value is not new, business have always wanted to derive insight from data for making real time, fact based decisions. But the speed with which the data is generated and the variety in which it is available is tremendous. The aim of this paper is to understand the concept of big data and challenges and opportunities associated with the same. The paper also discus in details the steps involved in big data analytics and the relevance of each of these stages.
Keywords
Big data, big data analytics, data preparation, data visualization, data discovery, data scientist, IoT (Internet of Things), cloud, software.
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