#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.social (Mastodon public tags API) · fetched 2026-10-20 17:49 UTC4 uses by 4 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 2026-10-20 17:49 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-20 17:49 UTCEverything below is measured over the latest 40 public posts (spanning ~4446 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (25) · Japanese (4) · German (3) · Spanish (1) · Chinese (Taiwan) (1) · Russian (1)
Avg boosts / post: 0.5
Top of the latest posts
Colleague said queries against our log data in BigQuery during the England Vs Ghana World Cup match last night were slow. I thought that'd be due to us firing ~1.6 million log lines per second (~11Gb/s) into BigQuery almost constantly for 2
So nice that Google #BigQuery solves the problems people have with understanding #SQL NULL and that basically all the time `NULL <operator> somethingElse` will return NULL by just yelling at you when you dare to use NULL with any operator.
After speaking with Google Cloud support, I raised a BigQuery Feature Request myself. Please +1 it if you use Materialised Views - you can't fail to benefit from it via (a bit) lower chance of massive bill shock. #BigQuery https://issuetrac
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