  This paper discusses approaches and environments for carrying out analytics
on Clouds for Big Data applications. It revolves around four important areas of
analytics and Big Data, namely (i) data management and supporting
architectures; (ii) model development and scoring; (iii) visualisation and user
interaction; and (iv) business models. Through a detailed survey, we identify
possible gaps in technology and provide recommendations for the research
community on future directions on Cloud-supported Big Data computing and
analytics solutions.
