#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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-15 00:53 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-15 00:53 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-15 00:53 UTCEverything below is measured over the latest 40 public posts (spanning ~8097 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (25) · Korean (8) · German (3) · Spanish (1)
Avg boosts / post: 0.5
Top of the latest posts
Modeling data collaboratively often breaks down when teams can't agree on what a "type" even means, and the words people use to describe their domain hold more clues than most models capture. This session with Marco Schneider and Martin Gün
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
Strong software architecture starts with strong domain models. In his #SAGconf session, @sperbsen reveals why data models often make or break a system — and how well-designed structures can keep your software flexible, expressive, and futur
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