|In the era of IoT-based health and wellness, the dependence of decision making relies on the abundance of heterogeneous data generated by many small-scale sensory devices. The effective utilization of these IoT devices require collaborative execution with remote storage and computing power. Data acquisition from these devices is large in volume, heterogeneous and considered in the category of big data. This data is accumulated at scalable resources like cloud where intelligent processes constitute the foundation of smart environments. In this paper, we survey the state-of-theart techniques, tools, and methodologies, implemented to support the curation of big data from IoT devices over cloud platforms.