Evaluation of Data Management Systems for Geospatial Big Data High Level Introduction to Geospatial Big Data Standard Publication of Geospatial Big Data Using Web. Amirian, P., Basiri, A., & Winstanley, A. Evaluation of Data Management Systems for Geospatial Big Data High Level Introduction to Geospatial Big Data Standard Publication of Geospatial Big Data Using Web, pages 185–198. 2014.
abstract   bibtex   
Big Data encompasses collection, management, processing and anal- ysis of the huge amount of data that varies in types and changes with high fre- quency. Often data component of Big Data has a positional component as an important part of it in various forms, such as postal address, Internet Protocol (IP) address and geographical location. If the positional components in Big Da- ta extensively used in storage, retrieval, analysis, processing, visualization and knowledge discovery (geospatial Big Data) the Big Data systems need certain type of techniques and algorithms for management, analytics and sharing. This paper describes the concept of geospatial Big Data management with focus on using typical and modern database management systems. Then the typical and modern types of databases for management of geospatial Big Data are evaluated based on model for storage, query languages, handling connected data, distribution models and schema evolution. As the results of the evalua- tions and benchmarks of this paper illustrate there is no single solution for efficient management of geospatial Big Data and in order to utilize unique cha- racteristics of geospatial Big Data (such as topological, directional and distance relationship) a polyglot geospatial data persistence system is needed
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 abstract = {Big Data encompasses collection, management, processing and anal- ysis of the huge amount of data that varies in types and changes with high fre- quency. Often data component of Big Data has a positional component as an important part of it in various forms, such as postal address, Internet Protocol (IP) address and geographical location. If the positional components in Big Da- ta extensively used in storage, retrieval, analysis, processing, visualization and knowledge discovery (geospatial Big Data) the Big Data systems need certain type of techniques and algorithms for management, analytics and sharing. This paper describes the concept of geospatial Big Data management with focus on using typical and modern database management systems. Then the typical and modern types of databases for management of geospatial Big Data are evaluated based on model for storage, query languages, handling connected data, distribution models and schema evolution. As the results of the evalua- tions and benchmarks of this paper illustrate there is no single solution for efficient management of geospatial Big Data and in order to utilize unique cha- racteristics of geospatial Big Data (such as topological, directional and distance relationship) a polyglot geospatial data persistence system is needed},
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 author = {Amirian, Pouria and Basiri, Anahid and Winstanley, Adam},
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