Open Visualization Session Proposal: Google - How we built a lightweight, enterprise-grade geospatial visualization on BigQuery Studio using deck.gl #462
Description
Proposal
Topic of the session
A talk on the ins-and-outs of building enterprise grade software using deck.gl, and the challenges we overcame, specifically integrating with BigQuery.
Type of the session
- Collaborate
- Workshop
- Talk
Estimated duration of the session
30 minutes
Date and Time of the session
Open for discussion
Level
- Beginner
- Intermediate
- Advanced
Pre-requisite knowledge
This talk will be beginner friendly–attendees should know a little bit about the Google Maps JavaScript API and the core features of deck.gl, but will provide a base understanding of how to build what we did. A little prior knowledge in geodesics, i.e. great arcs, is helpful.
Describe the session
Google BigQuery, an enterprise-grade SQL analysis engine for big data, includes geospatial query capabilities. To enhance geospatial developer workflows within BigQuery Studio, we recently launched a lightweight geospatial visualization tool directly within the Google Cloud Console. This presentation will explain how deck.gl was employed to visualize BigQuery data, despite BigQuery encoding geodesic, S2, and WKT-encoded geographies, which deck.gl does not natively support.
Session facilitator(s), Github handle(s) and timezone(s)
- Sufyan Abbasi (@sufyanAbbasi) - Googler (Software Engineer) on the Earth Engine team
- Alicia Sullivan - Googler (Product Manager) on the Earth Engine team
Meeting notes and Virtual Meeting Link
Follow-up / Set-up sessions (if any)
Additional context (optional)