Implications of Big Data Analytics for Pharmaceutical Industry and Transforming Healthcare

Abstract

Consistently, we refer to the current period as the Modern period, which is otherwise called the Big Data period in the Information Technology area. We carry on with a speedy life in a high-speed world that never is by all accounts fulfilled. This exponential rise in data output is leading in Exabyte(s) of data being produced every day in the sciences, engineering, and technology fields alone. Big data enables us to study and re-invent various industries, including education, health, and law, but it is not limited to these. The primary goal of this paper is to conduct an in-depth inquiry into the pharmaceutical sector and healthcare utilizing big data and analytics.. Big data is always being preserved, allowing us to look back in time, but at this point, it's time to focus on analyzing such data in order to improve medications and services. Despite the fact that many big data implementations are done in-house, this approach offers to use Hadoop on a bigger scale. This paper is about more than just improving and analyzing data; there are also advantages and disadvantages as compared to the typical techniques that are presently available on the market.