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A Cluster Computing System for Processing Large-Scale Spatial Data

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GeoSpark is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.

GeoSpark contains several modules:

Name API Spark compatibility Introduction
Core RDD Spark 2.X/1.X SpatialRDDs and Query Operators.
SQL SQL/DataFrame SparkSQL 2.1+ SQL interfaces for GeoSpark core.
Viz RDD, SQL/DataFrame RDD - Spark 2.X/1.X, SQL - Spark 2.1+ Visualization for Spatial RDD and DataFrame.
Zeppelin Apache Zeppelin Spark 2.1+, Zeppelin 0.8.1+ GeoSpark plugin for Apache Zeppelin

GeoSpark supports several programming languages: Scala, Java, SQL, Python and R.

Please visit GeoSpark website for detailed documentations

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