Abstract
As we aware, every second, petabytes of data is being generated from various sources as mentioned in previous para at a rapid speed, other sources may be stock market transactions data, sales and marketing data, sensors data, web documents, internet images, movies, multimedia data and lot many. These Big Data are as volume, variety, velocity, veracity and value in 5 V’s, which explains the complexity of Big Data. Due to adoption of Big Data analytics, there is demand of efficient technologies to manage heterogeneous data]. 21st century has marked the advent of Rich-Data concept. Different societal application such as disaster management, urban planning & monitoring, health hazards etc. has reinvigorated the significance of Geographic Information Systems (GIS). Newer and advance technologies are generating means to produce location-based dataset called as geospatial datasets. Increasing influx of user-generated data has amplified geospatial data and has outdid conventional computation requirement limits. The similitude of Big data and data in consideration has evolved the concept and appellation as “Spatial Big Data” (SBD). This paper is an effort towards enlistment and analysis of the different SBD concepts and technologies in the contemporary time. The main endeavor of this paper is to critically analyze the different technologies in the present day and identify the existing technical inadequacies in the existing systems
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