• K. Venkateswara Rao

Abstract: Motivation: Spatiotemporal data deals with spatial and temporal aspects of the data. Big data has been gaining a strong focus of global interest and continuously attracting the attention of academia, industry, government and other organizations. Context: Continuous arrival of spatiotemporal data in varying formats from different domains has been increasing its volume and posing challenges in storing, managing, accessing and processing. Distributed data processing systems are appropriate for this kind of spatiotemporal big data because such systems architectures are scalable. Objective: To conduct literature survey, discuss and compare state of the art Spatiotemporal Big Data processing systems with respect to underlying platform and various features supported. Methods: The methodology involves identifying digital libraries and web resources, collecting state of the art research papers in the field of Spatiotemporal Big Data Processing Systems, selecting the relevant papers, eliminating duplicates from various sources, extracting the information from selected papers, performing analysis, organizing and presenting the views as results. Results: The state of the art systems for Spatiotemporal Big Data Processing are categorized, compared and discussed based on data types supported, partitioning, indexing and queries supported. Novelty: This survey outlines future research directions such as integrating Artificial Intelligence, Machine Learning, and Deep Learning models to spatiotemporal big data infrastructures for discovering hidden knowledge.

Index Terms – Spatiotemporal, Big data, Spatiotemporal Information Systems, Spatiotemporal Data Processing

"Spatiotemporal Big Data Processing Systems: A Comprehensive Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.d380-d384, October-2022, Available :http://www.jetir.org/papers/JETIR2210359.pdf

"Spatiotemporal Big Data Processing Systems: A Comprehensive Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppd380-d384, October-2022, Available at : http://www.jetir.org/papers/JETIR2210359.pdf