A cluster computing framework for processing large-scale geospatial data

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Build Status

Apache Sedona (incubating) is a cluster computing system for processing large-scale spatial data. Sedona 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.

Sedona contains several modules:

NameAPISpark compatibilityIntroduction
CoreRDDSpark 2.X/1.XSpatialRDDs and Query Operators.
SQLSQL/DataFrameSparkSQL 2.1+SQL interfaces for Sedona core.
VizRDD, SQL/DataFrameRDD - Spark 2.X/1.X, SQL - Spark 2.1+Visualization for Spatial RDD and DataFrame.
ZeppelinApache ZeppelinSpark 2.1+, Zeppelin 0.8.1+Plugin for Apache Zeppelin

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


Twitter: Sedona@Twitter

Gitter chat: Gitter

Sedona JIRA: Bugs, Pull Requests, and other similar issues

Sedona Mailing Lists:

Please visit Apache Sedona website for detailed information

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