Examining vast and complicated data sets to find patterns, correlations, and market shifts in order to improve business decisions and insights is known as Big Data Analytics. It entails the use of sophisticated methods and instruments to gather, process, and evaluate diverse, high-volume, and high-velocity information gathered from sources such as sensors, social media, and logs of transactions. Due to the rapid expansion of data and technological advancements, Big Data Analytics (BDA) has attracted a lot of attention from both academics and industry, especially in fields like healthcare. By increasing results for patients, enabling tailored medication, and boosting the precision of diagnostics, the combination of data from many sources and the application of cutting-edge analytical tools have the capacity to completely transform healthcare. Healthcare data, big data in healthcare organizations, and the uses and benefits of big data analytics in healthcare are all covered in the present research. It is also discussed how big data in healthcare has advanced technologically, including comparison of tools for Big Data Analytics. The discussion also includes the difficulties with big data analytics in healthcare settings.