diff --git a/content/docs/about/kepler-gl-map-examples.md b/content/docs/about/kepler-gl-map-examples.md
index c676574f..f356f088 100644
--- a/content/docs/about/kepler-gl-map-examples.md
+++ b/content/docs/about/kepler-gl-map-examples.md
@@ -1,6 +1,6 @@
 ---
-title: "Kepler.gl map examples"
-description: "Map examples with public datasets"
+title: "Kepler.gl maps examples"
+description: "Kepler.gl maps examples created on Dekart with public BigQuery datasets, Overture Data, and OpenStreetMap data"
 lead: ""
 date: 2024-05-21T07:13:05+02:00
 lastmod: 2024-05-21T07:13:05+02:00
@@ -13,14 +13,7 @@ toc: true
 canonical: ""
 ---
 
-Learn how to use Dekart and BigQuery SQL to create kepler.gl visualizations. Below are some examples with public datasets.
-
-## Large datasets
-
-Explore large datasets with millions of rows and visualize them on a map
-  * [All (400k) Toronto Buildings (100Mb)](https://cloud.dekart.xyz/reports/8f2da1e3-9769-4654-abb8-983afd2a2795)
-  * [1M points (30Mb)](https://cloud.dekart.xyz/reports/f63fb537-800e-48f6-8c18-8d542a0fed30)
-  * [All ramps in Illinois ](https://cloud.dekart.xyz/reports/b818f41a-5bd2-4b3b-87b8-4797a390a2a6)
+Dekart allows user create and share Kepler.gl maps from private and public BigQuery datasets, using SQL. It works particularly well with BigQuery GIS functions.
 
 ## Population density
 
@@ -31,17 +24,33 @@ Visualize population density anywhere in the world and at any level of detail
 * [Berlin Population Density](https://cloud.dekart.xyz/reports/f4c55a02-88a1-4a38-a8ab-48a6237dfee9/source)
 
 
+## Overture Maps
+Examples creating kepler.gl maps from Overture Data in BigQuery public dataset
+
+* [Overture Maps: All Nevada roads](https://cloud.dekart.xyz/reports/15540f2b-2411-44a4-92b5-206a9bee5753)
+
 ## OpenStreetMap
 
-Export OpenStreetMap data
+Examples of extracting and creating kepler.gl maps from OpenStreetMap data in BigQuery public dataset
 
   * [All German schools from OSM data](https://cloud.dekart.xyz/reports/e539b5f6-cec2-45d5-97b3-d5bf541a9389)
   * [Admin Boundaries](https://dekart.xyz/blog/admin-boundaries-in-bigquery-public-datasets/)
   * [All roads in Nevada excluding parking and service roads (26Mb)](https://cloud.dekart.xyz/reports/556330cb-e7ba-4e34-89df-5644cd0ec8b2)
   * [Every parking lot in Nevada from the OSM](https://cloud.dekart.xyz/reports/b2f2e1b3-78ec-42d9-9cc6-c38a2a57f72e)
   * [US States Borders](https://cloud.dekart.xyz/reports/ec7f842a-73f3-4710-a5e8-a2e2d8f63c55/source)
+  * [Ukrainian Schools vs Russian Invasion](https://cloud.dekart.xyz/reports/5825b784-cd3c-4030-b3c5-94a8f4dd47b0)
 
 ## Geospatial analytics
-Perform geospatial analytics with Spatial SQL
+
+Perform geospatial analytics with Spatial SQL and Kepler.gl
 
   * [Locate empty building plots](https://cloud.dekart.xyz/reports/aeefb6e0-d83a-489a-b371-50b306535e2d)
+
+## Kepler.gl maps with large datasets
+
+Benchmarking Kepler.gl with large datasets
+
+  * [All (400k) Toronto Buildings (100Mb)](https://cloud.dekart.xyz/reports/8f2da1e3-9769-4654-abb8-983afd2a2795)
+  * [1M points (30Mb)](https://cloud.dekart.xyz/reports/f63fb537-800e-48f6-8c18-8d542a0fed30)
+  * [All ramps in Illinois ](https://cloud.dekart.xyz/reports/b818f41a-5bd2-4b3b-87b8-4797a390a2a6)
+