#MapReduce
Live, measured metrics for the hashtag #MapReduce from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mapreduce
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:15 UTC0 uses by 0 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 2026-07-27 14:15 UTCNo related tags with measured usage found for #mapreduce.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:15 UTCEverything below is measured over the latest 25 public posts (spanning ~31880 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (15) · Russian (10)
Avg boosts / post: 0
Top of the latest posts
It's 5am. I've set up Hadoop on Arch Linux in WSL2. There... were issues. But it works. And now nobody can stop me from performing word counts on lorem ipsum text using MapReduce. Nobody!! #Hadoop #MapReduce #BigData #Python
Как заставить LLM проанализировать хранилище из тысяч заметок, которое не влезает в контекст У меня в Obsidian накопилось под две тысячи заметок. Ежедневники, конспекты, обрывки идей, недописанные черновики. Граф‑вью честно показывает мне о
#ITByte: #MapReduce is a programming model and framework designed for processing large datasets in a parallel and distributed manner. It's particularly useful for tasks that can be broken down into smaller, independent pieces. https://knowl
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/mapreduce