Future Prospects and Challenges in Geospatial Database for Handling of Big Data Concept: A Review
Bhagwant Singh1, Kingshuk Srivastava2, Dharmender Gupta3

1Bhagwant Singh, University of Petroleum and Energy Studies, India.
2Kingshuk Srivastava, University of Petroleum and Energy Studies, India.
3Dharmender Gupta, University of Petroleum and Energy Studies, India.
Manuscript received on 27 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 12 April 2019 | PP: 140-144 | Volume-7 Issue-6C April 2019 | Retrieval Number: F90450476C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: GIS, Spatial Big Data, Social Media.
Scope of the Article: Big Data Quality Validation