~/talk

Mosaic: A Framework for Geospatial Analytics at Scale

on YouTube 14m
Talkat Spatial Data Science Conference 2022 London · on Thursday, 2022-05-19· [data-engineering, cloud-infrastructure]

speaker

name:Milos Colic
links:none on file

resources

video:https://youtu.be/Iskb2EEUo3M
slides:none on file

summary

Databricks outlines a concrete stack for large-scale geospatial work: Mosaic as a Databricks Labs framework for distributed spatial joins and indexing, Delta Lake for unified batch/stream storage, and delta sharing to publish large datasets cloud‑agnostically. Ingests WKB/WKT/GeoJSON today with GeoParquet planned, uses an index‑first strategy (H3 and British National Grid support) to scale complex polygons, recommends Apache Sedona for spatial SQL, and exports preprocessed layers to CARTO for visualization.

AI-written summary · about

chapters (6)

  1. 0:00Introduction
  2. 0:47Why do you focus on geospatial data
  3. 1:51Databricks vision
  4. 5:24Why are we here today
  5. 6:03Mosaic
  6. 8:53Questions

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