@inproceedings{98b1de6c89b74faa99a83bc351951387,
title = "Spatial data wrangling with GeoSpark - A step by step tutorial",
abstract = "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.",
keywords = "Cluster computing, Large-scale data, Spatial data",
author = "Jia Yu and Mohamed Sarwat",
note = "Funding Information: This work is supported by the National Science Foundation (NSF) under Grant 1845789. Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 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 ; Conference date: 05-11-2019",
year = "2019",
month = nov,
day = "5",
doi = "10.1145/3356394.3365589",
language = "English (US)",
series = "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",
publisher = "Association for Computing Machinery, Inc",
editor = "Ahmed Eldawy",
booktitle = "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",
}