Article Preview
Top1. Introduction
The technological developments helped us in producing more data that cannot be easily processed with currently available technologies. Thus, a new term ‘big data’ is created to describe the data that is large and not processed. Healthcare systems are generating huge amounts of data that present many positive and negative situations at the same time. For this reason, big data management and its analysis in healthcare sector are important (Dash et al., 2019).
Healthcare data increase day by day with the improvement of technology. The correct analysis of this data will increase the quality of maintenance and reduce the costs. This kind of data (big data) have some features such as high volume, variety, high speed production etc. Because of these features, analyzing data with traditional hardware and software platforms are pretty hard. Hence, choosing appropriate platform for analyzing and managing big data is very important (Nazari et al., 2019).
Considering the studies related to big data and big data analytics in the field of health in the literature, it is seen that quite a lot of studies have presented. Especially in recent years, it has been seen that there is a great increase in the number of studies on this subject. Some of them can be expressed as follows.