

The spatial intelligence cloud with Will Lyon and Ryan Avery from Wherobots
10 snips Jul 3, 2024
Join Will Lyon, a developer relations expert at Wherobots, and Ryan Avery, a machine learning engineer specializing in AI for geospatial imagery, as they dive into the realm of spatial analytics. They explore the breakthroughs in Apache Sedona’s visualization and data engineering capabilities. Discover how AI is revolutionizing electric vehicle charging infrastructure through spatial data analysis. They also tackle the challenges of managing large-scale geospatial data and discuss the latest features of Wherobots, including innovative tools for enhanced imagery analysis.
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Cluster Computing Explained
- Cluster computing involves multiple machines working together to process large datasets.
- Data is partitioned and distributed, enabling faster processing than single-machine systems.
Sedona's Role in Geospatial Big Data
- Apache Sedona bridges the gap between geospatial tooling and distributed computing.
- It brings spatial data types, operations, and optimizations to systems like Spark.
Real-World Sedona Use Cases
- Overture Maps Foundation uses Sedona to create a 'planetary record of the world'.
- Land O'Lakes leverages Sedona for parcel-level climate and weather predictions.