Wherobots 102: Reading and Processing Cloud Native Geospatial Data

Thursday, February 6 at 10AM PT / 1PM ET

Join us for an in-depth webinar on efficiently loading, managing, and analyzing raster and vector data in Wherobots' hosted environment. Whether you're working with massive geospatial datasets or looking for optimized workflows to write and query GeoParquet and Cloud-Optimized GeoTIFFs (COGs), this session will equip you with the tools and techniques to scale your geospatial analysis.

What You'll Learn:
 
  • Introduction to Wherobots' Hosted Environment: Explore preconfigured tools, libraries like Apache Sedona and cloud storage integration.
  • Vector Data Handling: Learn how to load, transform, and write vector datasets in GeoParquet, Shapefile, GeoJSON, and CSV formats.
  • Raster Data Management: Understand best practices for handling large raster datasets, querying Cloud-Optimized GeoTIFFs, and optimizing performance.
  • Advanced Spatial Queries & Performance Tuning: Leverage spatial indexing, partitioning strategies, and raster-geometry joins for massive-scale geospatial workloads.
  • Writing Geospatial Data Efficiently: Explore optimized storage formats for vector and raster data in Wherobots.
Why Attend?
 
  • GIS professionals and data scientists working with large geospatial datasets.
  • Developers and engineers looking to streamline geospatial ETL workflows.
  • Anyone interested in scalable, elastic, cloud-native geospatial data processing.

Who Should Attend?
 
  • Geospatial and GIS professionals upgrading their workflows.
  • Data scientists and analysts working with spatial data.
  • Enthusiasts curious about scalable geospatial analytics.

 

Register Here 👇