On Designing a Generic Framework for Big Data-as-a-Service

Data is the heart of any system, which is perhaps the reason why big data is such a `big' deal. With the growing application domain of the technology, research towards big data analytical applications' development has gained immense attention lately. The cost-effective and scalable nature of Cloud Computing has made it an obvious infrastructural choice. However, until APIs are developed for provisioning analytical services, big data research will not meet its desired outcome. Moreover, existing frameworks are application-specific or cater to only a specific set of requirements. This paper proposes a framework for creating a technological stack for Big Data-as-a-Service. Besides this, it also presents criteria for technology selection, which is based on the identification of computing and data models for the application. Therefore, the proposed framework is application-independent and accommodates all the segments of the big data lifecycle.