Open AccessSurvey on Big data analytics in Healthcare Domain
Author(s) -
M. D. Anto Praveena,
M. Kameswara Rao
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.11097
Subject(s) - big data , data science , computer science , analytics , data analysis , domain (mathematical analysis) , business intelligence , process (computing) , world wide web , data mining , mathematical analysis , mathematics , operating system
These days, amount of data in different formats is increasing rapidly due to the use of different technologies and increasing use of Internet. In previous decades, data even if it is large, its format and sources are limited but now-a-days, massive amount of data is collected from different sources in different formats. This concept gave rise to new concept called “Big Data” which is a present trend to deal with the data. Analytics is one more crucial topic under big data which deals with the analysis and its integration with business process. Many books, tools, sub topics were raised from the “Big Data” where it takes a large amount of time to understand and to start to work with it. Hence, we are going to give a review on “Big Data”, “Big Data Analytics” and its tools briefly. Here, Healthcare is taken as example to get the brief understanding on “Big Data and Analytics”. This paper, we have also reviewed various big data frameworks with respective to data sources, application area, analytical capability and made study on various papers by presenting their methodology, tools, advantages and limitations.