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Great Data Products
Source Cooperative
2 episodes
5 days ago
A podcast about the ergonomics and craft of data. Brought to you by Source Cooperative.
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Technology
Science
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All content for Great Data Products is the property of Source Cooperative and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
A podcast about the ergonomics and craft of data. Brought to you by Source Cooperative.
Show more...
Technology
Science
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Protomaps and PMTiles
Great Data Products
1 hour 17 minutes 14 seconds
2 weeks ago
Protomaps and PMTiles

Jed talks with Brandon Liu about building maps for the web with Protomaps and PMTiles. We cover why new formats won't work without a compelling application, how a single-file base map functions as a reusable data product, designing simple specs for long-term usability, and how object storage-based approaches can replace server-based stacks while staying fast and easy to integrate. Many thanks to our listeners from Norway and Egypt who stayed up very late for the live stream!

Links and Resources

- Protomaps – a free, customizable base map you can self-host

- PMTiles Viewer – drag-and-drop viewer for .pmtiles files

- Browse 2.7 billion building footprints in PMTiles in the Google-Microsoft-OSM Open Buildings - combined by VIDA product on Source

- Emergent standards white paper from the Institutional Architecture Lab

Key takeaways:

1. Ship a killer app if you want a new format to gain traction — The Protomaps base map is the product that makes the PMTiles format matter.

2. Single-file, object storage first — PMTiles runs from a bucket or an SD card, with a browser-based viewer for offline use.

3. Design simple, future‑proof specifications — Keep formats small and reimplementable with minimal dependencies; simplicity preserves longevity and portability.

4. Prioritize the developer experience — Single-binary installs, easy local preview, and eliminating incidental complexity drive adoption more than raw capability.

5. Build the right pipeline for the job — Separate visualization-optimized packaging from analysis-ready data; don’t force one format to do everything.

Great Data Products
A podcast about the ergonomics and craft of data. Brought to you by Source Cooperative.