#dataengineering
Live, measured metrics for the hashtag #dataengineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dataengineering
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 2026-09-13 07:21 UTC13 uses by 13 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 2026-09-13 07:21 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-13 07:21 UTCEverything below is measured over the latest 40 public posts (spanning ~383 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (20) · French (17) · Chinese (China) (1) · Russian (1)
Avg boosts / post: 0.5
Top of the latest posts
Looking for work. Backend engineer with a data engineering focus. Python's been my daily driver for over 15 years. I've also got solid skills with Dagster, Luigi, Hadoop, Kafka, GCP, PostgreSQL, and Linux. The past 2.5 years have seen me fo
Andrei Lepikhov at pgEdge built the Xue & Marcus shared hash table approach into PostgreSQL and benchmarked it. Uniform distribution: up to 4.8x. Skew at 10 to 20 percent: a loss. At 95 percent: 0.04x. https://www.pgedge.com/blog/do-global-
Bonjour réseau, une question sûrement simple : dans quelles PME candidater (de façon spontanée ou autre) pour un ingénieur données ou développeur backend ? Pistes de données à explorer ? #DataEngineering #DataEngineer #Dev #BackEnd #OpenToW
#dataengineering across platforms
every network with a public tag surfaceFollow #dataengineering 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/dataengineering