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We're back with another session featuring Spatial Joins! 🌎🤝 Whether you're a data scientist, GIS analyst, or developer, you'll learn practical skills and best practices for processing and visualizing spatial data at scale. You don't want to miss this! Register here:

We've partnered with @oreillymedia to publish a guide that helps you navigate the complexities of working with geospatial data. The newest chapter is now out, focusing on vector data analysis with spatial SQL. Check it out here, and be sure to explore the previous chapters as

Don't let messy GPS slow you down. ❌ Imagine using your GPS to get to your location, only to find it telling you to drive over water instead of the road. Learn how Wherobots’ map matching corrects trajectories by aligning them with real-world road networks, all while delivering

How is cloud-native geospatial reshaping the way organizations interact with spatial data? ☁️🌎 Join us, alongside Amy Rose from Overture Maps Foundation and Eshwaran Venka from @Dotlas, as we dive into how it prioritizes flexibility, changes how data consumers connect, and unlocks new

Thank you David Buchanan from Comcast for joining us recently and sharing your experience with Apache Sedona, and how it has improved the ability of the Xfinity network team to optimize their network operations. ➡️ If you missed the webinar or would like a recap of the session,

THIS WEEK: Join us alongside Dotlas and Overture Maps Foundation on what makes geospatial cloud-native and how it's revolutionzing the way we interact with spatial data. 🌎 It's a conversation you won't want to miss! Register here: bit.ly/4iWEc4e

If you're in San Francisco, join us at the upcoming Apache Sedona + Iceberg GEO meetup on 5/12. We'll dive into Apache Iceberg's new native geospatial support, designed to address key challenges in managing geospatial data at scale. You won't want to miss this! For more details

Wherobots raster functions makes it easy to classify satellite images on GPU clusters. Just use the RS_CLASSIFY function and use familiar SQL code to run a model that was trained with PyTorch. Big shout out to the researchers that made this model open source for the community!

💡 What are the benefits of using Apache Iceberg for geospatial data analysis? It allows the geospatial community to leverage powerful Iceberg features, such as reliable transactions, DML operations (deletes and upserts), time travel, versioned data, and more. Follow along to

Join us at the #IcebergSummit in San Francisco! Don’t miss Jia Yu’s talk on Iceberg GEO, where he’ll discuss the development, impact, and future goals of Iceberg’s geo type, including a live demo with Apache Sedona and Spark to show how it simplifies and accelerates geospatial

What are isochrones, and how can you leverage them to scale #LocationIntelligence? 🌍📍 We’re introducing new isochrone functions for SQL and Python, along with an extended Overture Places dataset, to help you perform location analytics on isochrones without any isochrone

This month, we're covering the benefits of using Apache Iceberg, spatial joins, cloud-native geospatial, and new product updates like isochrones to help you make better location-based decisions. What does it all mean, and how can it help you increase data productivity? Check it

🚀 Wherobots is now available in the AWS Europe (Ireland) region! If you’re working with geospatial data in the EU, this means faster performance, lower costs, and full data residency compliance—all in a cloud-native environment built for spatial intelligence. Read more:

💡 Did you know that using GeoPandas along with Wherobots and Apache Sedona can provide powerful, efficient analysis, especially for large datasets? Whether you're scaling to massive datasets or diving into detailed analysis, this blog shows how these tools ✨work better

Zonal statistics is one of the most powerful ways to combine raster and vector data—but once you try to scale beyond a few polygons, most tools start to struggle. Join us for a live session where we’ll show how Wherobots make large-scale zonal stats simple, fast, and scalable for

Welcome to the April edition of the Spatial Intelligence Newsletter! This month, we’re covering the benefits of using Apache Iceberg, spatial joins, cloud-native geospatial, and new product updates like isochrones to help you make better location-based decisions. What does it all

WherobotsAI Raster Inference now supports Meta’s Segment Anything 2 (SAM2) model! You can now perform object detection and feature segmentation at scale on terabytes of satellite imagery—just by describing what you’re looking for in plain text. 🔍 Read more about

We're excited to join the cloud-native geospatial community at the CNG Conference! Catch our sessions on Raster Inference, Iceberg GEO, STAC MLM, and more. Find session details and connect with the team here: bit.ly/4jXxn2R

TOMORROW 5/1: Join us for a live session where we'll introduce a new Isochrones Dataset—a powerful, open-source layer that maps reachable areas based on time and transport mode, built on the Overture Maps POI Dataset. We’ll walk through a hands-on example of geospatial weighted

It’s easier than ever to work with geospatial data, with Iceberg and Parquet now offering powerful solutions for both geospatial experts and non-spatial professionals. Join this session with industry leaders from Foursquare, Databricks, Planet, and Wherobots as they discuss the