The exponential rise of data in the modern digital era has been responsible for a transformation in the way that individuals, corporations, and governments conduct their operations. Every single click on the internet, every single transaction at a store, every single sensor in a machine, and every single post on social media all add to the massive amount of data that is known as Big Data, which is continuing to grow at an exponential rate. The tools and methods that have been used traditionally for data processing are no longer enough to effectively manage, process, or derive useful insights from the flood of information that is currently available. Big Data Analytics is a multidisciplinary area that integrates computer science, statistics, mathematics, and domain expertise in order to analyse and interpret vast and complex information. This has led to the birth of Big Data Analytics. In general, Big Data may be characterised by five fundamental aspects, which are sometimes referred to as the 5Vs. Volume refers to the volume of data that is produced each and every second. The rate at which information is generated and processed is referred to as velocity. A variety of data forms and kinds, including structured, semi-structured, and unstructured data, are referred to as variety. The trustworthiness and precision of the data is referred to as veracity. Value is defined as the possible advantages and insights that may be generated from data.