Modern big data analytics: An introduction to Vector and Raster workflows for cloud-native web-GIS

This talk presents modern cloud-native workflows that use optimised formats and serverless data access to bring advanced analytics and fast performance to the browser.

Engineering, environmental, and transport planning organisations now depend on ever-growing geospatial datasets, from satellite time series to model simulations and long-term sensor records. However, many still rely on traditional web-GIS systems that push all computation through a single heavy-duty server.

Supported by real examples from the fields of nature-based solutions, flood risk assessment, and noise monitoring, Ollie will show how WebAssembly lets the browser run SQL queries, decode rasters and apply transformations directly against cloud-hosted data, enabling fast, interactive exploration without a GIS server. He will then demonstrate how scalable compute efficiently handles heavier analysis using cloud-native vector and raster formats.

Finally, we will explore how the SpatioTemporal Asset Catalog (STAC) standard keeps everything organised and findable, an increasingly important matter as advancements in AI proliferate new datasets and AI-derived data products.