#資料工程
Live, measured metrics for the hashtag #資料工程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #資料工程
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 2026-08-22 02:59 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 2026-08-22 02:59 UTCNo related tags with measured usage found for #資料工程.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 02:59 UTCEverything below is measured over the latest 22 public posts (spanning ~10316 hours).
Posting hours (UTC) — busiest: 19:00
Languages: Chinese (Taiwan) (22)
Avg boosts / post: 0
Top of the latest posts
< 從試算表到資料平台:重構資料工程的技術與團隊 > 新書上架! 它談論圍繞著 Modern Data Stack 展開的資料工程、資料分析、與管理實務。 寫作的題材,主要基於我對軟體開發的心得與為四間不同的台灣 (上市、新創) 公司改進過資料工程或是 BI 報表的經驗。 天瓏已經開啟預購了,其餘通路9/19正式上市後也都可以開始購買。 https://www.tenlong.com.tw/products/9786267757284 https://www.books.co
🌗 使用 xarray-sql 進行神經網路運算:以 MNIST 為例 ➤ 當神經網路遇上 SQL:利用 xarray 實現高效數據導向計算 ✤ https://github.com/xqlsystems/xarray-sql/blob/claude/xarray-sql-mnist-demo/benchmarks/nn.py 本文展示瞭如何利用 `xarray-sql` 套件將神經網路的運算轉化為資料庫查詢。作者透過 Fashion-MNIST 資料集,將圖片像素與模型權
🌗 從單體架構到 Lakebase 與 LTAP:從底層儲存重新定義資料庫 ➤ 解鎖雲端原生資料庫的彈性與效能:從 Lakebase 到 LTAP 的架構進化 ✤ https://www.databricks.com/blog/lakebase-ltap-rethinking-database-storage 在傳統的資料庫架構中,寫入預寫日誌(WAL)與資料檔案皆綁定於單一伺服器,導致資料脆弱且擴充困難。本文介紹了 Databricks 的 Lakebase 架構,透過將
#資料工程 across platforms
every network with a public tag surfaceFollow #資料工程 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/資料工程