Big Data refers to the huge amount of data in terabytes and petabytes. These kinds of data is collected from different heterogeneous sources like defence, government data, health industry, banking sector, social media, sensor data, public data, transaction data, etc. And these data is yet growing exponentially with time. Big Data can be structured, semi-structured and unstructured by nature and handling such kind of data through traditional data management system has become very complex. Also there are a number of applications available in today’s era which requires high speed data transmission capacity for the storing and computing large amount of data. This requirement can be fulfilled using Big Data as a Service. To handle the large amount of unstructured data the organizations use Big data as a service to free up the organizational resources by taking the advantages of predictive analytics skills of an outside service provider including storage and computing services, rather than hiring in-house staff. In this paper we have given the overview of Big Data as a service, its advantages, application areas and challenges faced by industry.

Component Big Data, Big Data as a service, cloud computing

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