 Big Data is a term used to describe large volumes of data that can be analyzed for patterns and trends. It is often associated with four verses, volume, variety, velocity, and veracity, which refer to the size, diversity, speed, and accuracy of the data. Big Data is increasingly being used in healthcare, particularly in the area of predictive modeling and clinical decision support. This is due to its ability to provide insights into complex relationships between variables, allowing for more accurate diagnoses and treatments. However, there are several challenges that need to be addressed before Big Data can be fully utilized in healthcare, such as the lack of evidence of practical benefits, methodological issues like legal and ethical concerns, and clinical integration and utility issues. This article was authored by Chung Holi and Hyeong Jin Yoon.