#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.

hashtag.org network · sponsored

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.

$110.68/ year · 8-character #name
Claim #bigquery — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-10 16:22 UTC
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08
1
11-09
0
11-10

1 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 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-10 16:22 UTC

Everything below is measured over the latest 40 public posts (spanning ~5509 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

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

    Spatialists@spatialists@mapstodon.space♥ 5↻ 22026-04-06 17:00 UTCView post →
  • 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

    Brian Greenberg :verified:@brian_greenberg@infosec.exchange♥ 1↻ 32026-04-30 18:40 UTCView post →
  • https://www.wacoca.com/life/487272/ 損害保険ジャパン:「正しく使われる」ための運用設計で、約 2 万ユーザーの Gemini Enterprise 活用を推進 #AIU0026機械学習 #BigQuery #CloudRun #Hoken #Insurance #保険 #顧客事例

    Life Japan@life@wakoka.com♥ 0↻ 02026-11-09 01:35 UTCView post →

What “bigquery” means

Wikipedia

BigQuery 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 surface

Follow #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