Big data refers to information or data sets that are so large or intricate that distributed databases rather than conventional data processing technologies are needed. Companies like Google, eBay, LinkedIn, and Facebook's parent companies were big data going back in time. It is a group of enormous and complicated data sets that contain enormous amounts of data, real-time data management, social media analytics, dates, etc. Issues with sensor design, capture, collection, sharing, storing, analysing, and visualizing data Privacy of information, etc. Big data is a term for datasets that are varied and pace, making it incredibly challenging to use conventional methods and instruments. The research process large amounts of data to find hidden relationships known as big analytics of data. Big Data is a complicated subset of data. Terabytes of data are produced every day by modern information systems and digital technologies like the Internet of Things and cloud computing. To examine these massive volumes of data and acquire knowledge for decision-making, a lot of labor is required on many different levels. Consequently, large data on a recent topic of study and development are analysed. The fundamental paper’s goal is to observe the potential effects of large open research questions, data difficulties, and related tools of data analysis. Consequently, this paper offers a platform for the exploration of large data on several levels. This study provides an overview of the problems, research gaps, and resources of big data analytics. It also creates a new horizon for researchers to create the remedy, depending on the difficulties and active research questions.