Snowflake provides for seamless handling of geospatial data, making it easier to work with location-based information directly in your data platform. In this video, we explore Snowflake’s native support for geospatial data, which allows you to store, process, and analyze spatial information at scale.

Geospatial data is important because everything happens somewhere. By breaking down silos and combining spatial and non-spatial data, Snowflake empowers you to uncover valuable insights across a wide range of use cases —from mapping to location analytics to geospatial trends.

In this demo, you will learn how to manipulate, analyze, and visualize spatial data within Snowflake, all within one platform.

Don’t forget to like, comment, and subscribe for more tutorials on Snowflake and data analytics!

#Snowflake #GeospatialData #DataScience #DataAnalytics #SpatialAnalysis #FeatureFridays❄Join

❄Join our YouTube community❄

• https://bit.ly/3lzfeeB

Learn more about Snowflake:
➡️ Website: https://www.snowflake.com
➡️ Careers: http://careers.snowflake.com
➡️ Podcast page: https://www.snowflake.com/thedatacloudpodcast/
➡️ Twitter: https://twitter.com/SnowflakeDB
➡️ Instagram: https://www.instagram.com/_snowflake_inc
➡️ Facebook: https://www.facebook.com/snowflakedb
➡️ LinkedIn: https://bit.ly/2QUexl4
➡️ Sign up for our weekly live demo program and have your questions answered by a Snowflake expert at https://bit.ly/2TdVCmJ

Listen on:
🔈 Apple Podcasts: https://apple.co/3cCdrCU
🔈 Spotify: https://spoti.fi/39vCNjH
🔈 Simplecast: https://bit.ly/3rFCrgA

#Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence