The goal of big data analytics is to help businesses make more informed decisions” by uncovering useful insights, correlations, market dynamics, and customer preferences hidden inside massive amounts of data. A subset of big data analytics is information systems, which cover characteristics such as prediction models, statistical algorithms, and what and analysis powered by analytics systems. This paper begins with an introduction to data analytics and then moves on to a description of huge data analytics. As we go into the next phase of big data analytics, researchers will also discuss several major open questions and prospective research topics. Machine learning, data science, AI, deep learning, and similar terms are commonly used interchangeably with Big Data. To better-existing models and allow for breakthroughs in research, big data will continue to play a significant role because of the reliance on data in these industries.