In the era of advanced technology in healthcare system,data are produced in huge amount from varied sources like clinical,e-health record,prescription,tests report and test image records. The greatest challenging is to extract knowledge from raw data and provide useful information to the medical researchers and practitioners,who in turn put it to work in real life scenario which will benefit a common man. Big Data analytics in healthcare is used to predict disease from historical data such that it predict epidemics disease,adverse drug reaction from social media improves quality of life and avoid preventable decease in earlier. In traditional system handling varied health care data for collection,storage and processing is complex,and this complication leads more opportunities for big data analytics. The main objective of this paper is to focus on various types of analysis and techniques to solve the big data problem in healthcare system. © 2016,International Journal of Pharmacy and Technology. All rights reserved.