Affiliation:
1. Survey of Pakistan, Pakistan
2. Unitar International University, Malaysia
3. INTI International University, Malaysia
Abstract
This chapter explored the transformative impact of cloud computing on geospatial data management, highlighting its scalability, cost-efficiency, and security features. This exploration adopted a qualitative method based on a literature review, systematically analyzing existing works to gain insights into the qualitative dimensions of the evolving intersection between cloud computing and geospatial data management. It detailed the integration of parallel processing, GIS platforms, machine learning, and data visualization within the digital landscape, fostering innovation. The narrative extended to include emerging technologies like edge computing, blockchain, AR/VR, and geospatial data marketplaces, giving rise to a groundbreaking geospatial data as a service (DaaS) model. Emphasizing the cloud's pivotal role in handling geospatial big data, the chapter outlined capabilities in parallel processing, GIS orchestration, machine learning integration, and disaster recovery.
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