The term “digital universe” quantitatively defines such massive amounts of data created, replicated, and consumed in a single year. The data overloadĮvery day, people working with various organizations around the world are generating a massive amount of data. In this review, we discuss about the basics of big data including its management, analysis and future prospects especially in healthcare sector. Like every other industry, healthcare organizations are producing data at a tremendous rate that presents many advantages and challenges at the same time. One such special social need is healthcare. In order to meet our present and future social needs, we need to develop new strategies to organize this data and derive meaningful information. This has led to the creation of the term ‘big data’ to describe data that is large and unmanageable. The technological advances have helped us in generating more and more data, even to a level where it has become unmanageable with currently available technologies. In a way, we can compare the present situation to a data deluge. Today, we are facing a situation wherein we are flooded with tons of data from every aspect of our life such as social activities, science, work, health, etc. As we are becoming more and more aware of this, we have started producing and collecting more data about almost everything by introducing technological developments in this direction. We can also use this data for the prediction of current trends of certain parameters and future events. That is why data collection is an important part for every organization. The more information we have, the more optimally we can organize ourselves to deliver the best outcomes. Information has been the key to a better organization and new developments. With a strong integration of biomedical and healthcare data, modern healthcare organizations can possibly revolutionize the medical therapies and personalized medicine. That is exactly why various industries, including the healthcare industry, are taking vigorous steps to convert this potential into better services and financial advantages. An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare. That is why, to provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data. There are various challenges associated with each step of handling big data which can only be surpassed by using high-end computing solutions for big data analysis. Otherwise, seeking solution by analyzing big data quickly becomes comparable to finding a needle in the haystack. ![]() This data requires proper management and analysis in order to derive meaningful information. Biomedical research also generates a significant portion of big data relevant to public healthcare. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. ‘Big data’ is massive amounts of information that can work wonders.
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