This tutorial is expected to deliver a comprehensive study and hands-on tutorial of how GeoSpark incorporates Spark to uphold massive-scale spatial data. We also want this tutorial to serve as an introductory course that teaches the audience the basic building blocks in a scalable spatial data management system and the important design concerns based on our previous experience. We begin our tutorial with a background introduction of the characteristics of spatial data and the history of distributed data management systems. A follow-up section presents common approaches used by the practitioners to extend Spark and introduces the vital components in a generic spatial data management system. The third section gives a hands-on live demonstration to illustrate the basic steps of performing geospatial data analytics using GeoSpark.
CITATION STYLE
Yu, J., & Sarwat, M. (2019). Spatial data wrangling with GeoSpark - A step by step tutorial. In Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, SpatialAPI 2019 - In conjunction with the 27th International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019. Association for Computing Machinery, Inc. https://doi.org/10.1145/3356394.3365589
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