Spatial Data Science Conference

🌍✨ Big thanks to everyone who joined the London Spatial Data Science Bootcamp! We covered key topics like the modern geospatial data stack, low-code spatial analytics, and working with spatial data at scale. Missed this one? Stay tuned for future bootcamps and conferences. 👀:https://hubs.ly/Q02Ybcts0

Want to see how spatial insights led to an increase in 3-pointers in the NBA? 🏀 Check out Kirk Goldsberry’s #SDSC24 talk and more: https://lnkd.in/dmg3GDne

London, get ready! The Spatial Data Science Bootcamp will be happening next week, November 13th. 📅 Join experts for a hands-on half-day covering topics like The Modern Geospatial Data Stack, Low-Code Spatial Analytics, Working with Spatial Data at Scale, and ending the day with a Mappy Hour 🗺️🍻 Secure your ticket 👉 https://lnkd.in/dH2FS7MG Swipe through to meet our speakers! 👀

🎃 Trick or Treat? Here’s a treat! 🎃 #SDSC24 New York presentations are now available on-demand, including our highlights reel! Watch all sessions covering spatial applications in real estate, climate change, AI, and more. 👀 🎥 Watch here: https://hubs.ly/Q02Wj4B90

Time to reflect on the last Spatial Data Science Conference in New York 🇺🇸 Congrats to Jérôme Urbain from GeoPostcodes and Daniel Smith from Wherobots for explaining how to turn any raster data into ready-to-use polygon data quickly, using the example of census data. I had a lot of insightful discussions with Yan T. Michael Johns David Lapp Rebecca Blandin Puru Botla Emily Goodman Brian Duggan Ishraq Rayeed Ahmed Eric Anderson. Thanks CARTO for organizing, and see you next year! #SDSC24 #SpatialData #LocationData #DataScience #NewYork #GIS

With all the buzz from #SDSC24 NYC, don’t forget that the Spatial Data Science Bootcamp is coming to London on November 13th! 🚀 Join us for an afternoon of learning, you'll learn about the Modern Geospatial Data Stack, Low-Code Spatial Analytics, and more—all wrapped up with a fun Mappy Hour. 🍻 Get your ticket today!🎫: https://hubs.ly/Q02VDPR60

The Spatial Data Science Conference was a great event last week! Thanks to CARTO for all the Apache Sedona and #Wherobots shout outs, as well as all of the amazing #dataengineering chats with the participants. We had a packed house all around in the #workshop on Wednesday, the #ApacheSedona happy hour that evening, as well as many great conversations throughout the event on Thursday! We also loved learning from all of the other presenters about their fascinating topics - everything from predicting neighborhood decline / improvement through aggregating real estate listing descriptions, to determining crop yield from #satellite imagery. So cool! Can’t wait to do it again next year!

It was great having you and your team!🥕 🛒 Thanks for sharing at #SDSC24 🗽

🔥 Breaking the GIS Data Silo at SDSC 2024! 🚀 I had the pleasure of delivering the keynote at the Spatial Data Science Conference at Columbia University, and it was an incredible experience connecting with so many of you passionate about maps and spatial analytics. 🌍 Here's a glimpse of what I shared: 🌪 From Hurricanes to Insurance – Spatial data is key to managing crises like the recent Florida hurricanes. Every industry—from insurance to utilities and public health—needs to respond and adapt using modernized spatial infrastructures. 🛰 Raster Data Revolution – Rasters are critical for spatial analysis, yet difficult for many to access. At CARTO, we're tackling this with: Rasquet – A new format that allows rasters to be accessed via SQL in data warehouses, breaking down barriers for non-experts. Raster Engine – For large planetary datasets, we’ve made it easy to pull Earth Engine data directly into your SQL workflows! 🛠 CARTO Workflows Extensions – Extending CARTO’s capabilities, allowing users to add custom logic through extensions. From Earth Engine to telco analytics, we’re inviting partners to collaborate on this rich ecosystem. 💥 BigQuery’s Geoparquet Support – Exciting news! BigQuery is now the first cloud data warehouse with Geoparquet support—streamlining GEO data interoperability across platforms like DuckDB, Geopandas, and Spark. 💡 Databricks Integration – We’ve officially launched full support for Databricks! With spatial SQL, photon acceleration, and raster capabilities, we’re enabling spatial analytics on one of the world’s largest analytics platforms. 🤖 AI Agents for Maps – Finally, we unveiled CARTO AI Agents—using natural language to simplify spatial analysis, making maps more accessible to everyone. A big shoutout to Helen McKenzie for the amazing live demo on stage! 🌐 Kudos to the entire CARTO team on getting so much ready for the conference! It is amazing the amount of release new capabilities just unlocked. I’m looking forward to continuing the conversation with the SDSC community. The slides from my keynote are attached—let's keep pushing the boundaries of spatial analytics together! 💬 #SpatialData #Geospatial #AI #CloudNative #Databricks #GIS #SDSC2024

I learned so much at the Spatial Data Science Conference in NYC this year, from the uses of GenAI in workflows to the impact of data visualization in sports! This was my third #SDSC conference and it's always incredible to see what the geospatial industry is up to. Thank you to CARTO & all of the speakers. Looking forward to next year! #SDSC24 #geospatial #datascience #analytics #AI