#datamodeling
Live, measured metrics for the hashtag #datamodeling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #datamodeling
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-16 13:27 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-16 13:27 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-16 13:27 UTCEverything below is measured over the latest 40 public posts (spanning ~20088 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (35) · German (4) · Korean (1)
Avg boosts / post: 2.9
Top of the latest posts
These models are used in literally thousands of places in the project - they're truly the heart of the system. And this weekend I am attempting a major heart surgery to rewire them. This includes standard migrations, data migrations, and lo
Future of Interlis: The #Interlis Discourse Forum currently hosts a discussion among experts reflecting on strengths and weaknesses and the future of the #datamodeling and #dataexchange #standard. Meanwhile, materials for the upcoming Inter
So now I'm the sucker who has read almost all the specifications. (1 spec to go) Time to start all over again now that the overview is complete. Also time for my pension and let someone else read through it all over again. #xbrl #reporting
What “datamodeling” means
WikipediaData modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques. It may be applied as part of broader model-driven engineering (MDE) concept.
“Data modeling” on Wikipedia (CC BY-SA) →#datamodeling across platforms
every network with a public tag surfaceFollow #datamodeling straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/datamodeling