| tag | 5c071a43976de34afddcfc8e052ec4922d3c0aa2 | |
|---|---|---|
| tagger | Jia Yu <jiayu@apache.org> | Wed Oct 06 12:16:28 2021 -0700 |
| object | ba3007cde81709ea69e930799130f26430039e8a |
[maven-release-plugin] copy for tag sedona-1.1.0-incubating-rc2
| commit | ba3007cde81709ea69e930799130f26430039e8a | [log] [tgz] |
|---|---|---|
| author | Jia Yu <jiayu@apache.org> | Wed Oct 06 12:16:14 2021 -0700 |
| committer | Jia Yu <jiayu@apache.org> | Wed Oct 06 12:16:14 2021 -0700 |
| tree | 30ce2848ea862e690c07701aa6184e2e8507405a | |
| parent | 671a109c31cd249e5c4dbd093a2789ced6ce8f0f [diff] |
[maven-release-plugin] prepare release sedona-1.1.0-incubating-rc2
Click 
and play the interactive Sedona Python Jupyter Notebook immediately!
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.
| Name | API | Introduction |
|---|---|---|
| Core | RDD | SpatialRDDs and Query Operators. |
| SQL | SQL/DataFrame | SQL interfaces for Sedona core. |
| Viz | RDD, SQL/DataFrame | Visualization for Spatial RDD and DataFrame |
| Zeppelin | Apache Zeppelin | Plugin for Apache Zeppelin 0.8.1+ |
Please refer to Sedona website
Feedback to improve Apache Sedona: Google Form
Twitter: Sedona@Twitter
Gitter chat: 
Sedona JIRA: Bugs, Pull Requests, and other similar issues