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in repository https://gitbox.apache.org/repos/asf/sedona.git
The following commit(s) were added to refs/heads/fix-image-url by this push:
new 6c5773f5c Add Snowflake info
6c5773f5c is described below
commit 6c5773f5c2f44c9c3ad6824af5d6857e3aedbef5
Author: Jia Yu <[email protected]>
AuthorDate: Sun Jan 21 21:58:07 2024 -0800
Add Snowflake info
---
docs/setup/overview.md | 7 +++++--
mkdocs.yml | 2 +-
2 files changed, 6 insertions(+), 3 deletions(-)
diff --git a/docs/setup/overview.md b/docs/setup/overview.md
index 2544347f8..02cc30b2a 100644
--- a/docs/setup/overview.md
+++ b/docs/setup/overview.md
@@ -13,6 +13,7 @@
- [x] Spatial DataFrame/SQL on Spark
- [x] Spatial DataStream on Flink
- [x] Spatial Table/SQL on Flink
+- [x] Spatial SQL on Snowflake
## Complex spatial objects
@@ -28,6 +29,8 @@
## Rich spatial analytics tools
- [x] Coordinate Reference System / Spatial Reference System Transformation
-- [x] High resolution map generation: [Visualize Spatial
DataFrame/RDD](../../tutorial/viz)
-- [x] Apache Zeppelin integration
+- [x] Apache Zeppelin dashboard integration
+- [X] Integrate with a variety of Python tools including Jupyter notebook,
GeoPandas, Shapely
+- [X] Integrate with a variety of visualization tools including KeplerGL,
DeckGL
+- [x] High resolution and scalable map generation: [Visualize Spatial
DataFrame/RDD](../../tutorial/viz)
- [x] Support Scala, Java, Python, R
diff --git a/mkdocs.yml b/mkdocs.yml
index 4defb65cf..1f3b533cc 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,5 +1,5 @@
site_name: Apache Sedona™
-site_description: Apache Sedona™ is a cluster computing system for
processing large-scale spatial data. Sedona extends existing 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.
+site_description: Apache Sedona™ is a cluster computing system for
processing large-scale spatial data. Sedona extends existing cluster computing
systems, such as Apache Spark, Apache Flink, and Snowflake, 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.
nav:
- Home: index.md
- Setup: