#bigquery
Live, measured metrics for the hashtag #bigquery from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bigquery
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.online (Mastodon public tags API) · fetched 2026-11-10 16:22 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.online (Mastodon public search API) · fetched 2026-11-10 16:22 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-10 16:22 UTCEverything below is measured over the latest 40 public posts (spanning ~5509 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (26) · Japanese (5) · German (3) · Russian (2) · Spanish (1) · Chinese (Taiwan) (1)
Avg boosts / post: 0.6
Top of the latest posts
geoparquet-io: Fast #GeoParquet tool: geoparquet-io is an open-source #CLI tool and #Python library for converting, inspecting, optimizing, and partitioning #GeoParquet files, automatically applying GeoParquet performance best practices alo
I'm hiring an Analytics Engineer (GCP) to join my team at RHR International. What you'd actually be doing: building and owning our analytics foundation in a Google Cloud GCP-first environment — BigQuery, Data/Looker Studio, Python, SQL, Git
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What “bigquery” means
WikipediaBigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service (PaaS) that supports querying using a dialect of SQL and Graph Query Language. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
“BigQuery” on Wikipedia (CC BY-SA) →#bigquery across platforms
every network with a public tag surfaceFollow #bigquery 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/bigquery