Over the years, we've noticed a significant challenge: data scientists and analysts often lack an efficient way to use raster data in their spatial analytics. That’s why we’re excited to introduce a new approach that unlocks raster analytics on the Snowflake AI Data Cloud, providing a unified workspace for all spatial analysis needs.

Join us for a masterclass where Jaime Sanchez, Partner Technical Lead at CARTO, and Fawad Qureshi, Global Field CTO at Snowflake, will tackle the common barriers surrounding raster data analytics and demonstrate its immense value across various use cases.

Key Takeaways:

• • Understanding Raster Data - Learn the basics of raster data and how it differs from vector data. Discover why raster data is crucial for adding spatial context to your analysis.
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• • Processing Raster Data at Scale - Learn how CARTO has developed a way to store raster data in Snowflake, enabling customers to query rasters using SQL. This breakthrough simplifies the integration and analysis of raster data, making it accessible to a wider audience.
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• • Practical Insights - Gain hands-on experience and practical knowledge on leveraging Snowflake and raster data to enhance your projects in various fields, including environmental monitoring, urban planning, catastrophe modeling, climate risk assessment, flood risk management, ESG, and alternative energy site planning.
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Here are the slides to follow along!