9th International Conference on ICT for Sustainable Development

Authors - Purnima Gandhi
Abstract - Modern users demand fast, scalable, simple, user-friendly, and cost-effective solutions to perform complex analytics on complex and disparate data including spatial data. The complex characteristics of spatial data have made analytics and management more challenging. The paper highlights the overall research and development done in the area of big data management including geometry attributes. The state-of-the-art databases, frameworks, and architectures are reviewed and compared with significant parameters. It also presents issues and challenges to meet the current demand of modern users to perform spatial analytics and management.