Combining Geospatial Data in 3D and Beyond with TileDB Arrays

Explore innovative solutions for handling large-scale geospatial data in this 44-minute talk from the Data Science Festival. Learn how TileDB, a multimodal database based on multi-dimensional arrays, revolutionizes the storage and analysis of diverse geospatial data types. Discover how to overcome challenges associated with file conversion, data wrangling, and integration of disparate sources. Gain insights into TileDB's architecture, which adapts to various data structures and supports cloud object storage. Explore its compatibility with popular Python tools like Dask, Xarray, and pandas, as well as geospatial frameworks such as PDAL and GDAL. Witness practical examples of efficient data management using global Sentinel-2 satellite imagery and Overture open map data. Understand techniques for parallel data ingestion, analysis, and visualization of large geospatial datasets. Delve into the integration of TileDB with interactive visualization tools using the BabylonJS gaming engine for seamless data streaming.

Combine geospatial data in 3D & beyond with TileDB arrays