[DOCS] Add missing headers and update release notes
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README.md

Scala and Java build Python build R build Example project build Docs build

Click Binder and play the interactive Sedona Python Jupyter Notebook immediately!

Apache Sedonaâ„¢(incubating) is a cluster computing system for processing large-scale spatial data. Sedona equips cluster computing systems such as Apache Spark and Apache Flink with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

Download statisticsMavenPyPICRAN
Apache Sedona80k/monthDownloads Downloads
Archived GeoSpark releases300k/monthDownloadsDownloads

System architecture

Our users and code contributors are from ...

Modules in the source code

NameAPIIntroduction
CoreScala/JavaDistributed Spatial Datasets and Query Operators
SQLSpark RDD/DataFrame in Scala/Java/SQLGeospatial data processing on Apache Spark
FlinkFlink DataStream/Table in Scala/Java/SQLGeospatial data processing on Apache Flink
VizSpark RDD/DataFrame in Scala/Java/SQLGeospatial data visualization on Apache Spark
PythonSpark RDD/DataFrame in PythonPython wrapper for Sedona
RSpark RDD/DataFrame in RR wrapper for Sedona
ZeppelinApache ZeppelinPlugin for Apache Zeppelin 0.8.1+

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

Compile the source code

Please refer to Sedona website

Contact

Feedback to improve Apache Sedona: Google Form

Twitter: Sedona@Twitter

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

Sedona Mailing Lists: dev@sedona.apache.org: project development, general questions or tutorials.

Please visit Apache Sedona website for detailed information

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