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Source channel @githubtrending · Post #15397 · Jan 7

#java#cdc#chunjun#dataops#datax#etl#flink#flink_streaming#java TIS is an easy enterprise data integration tool using batch (DataX) and streaming (Flink-CDC, Chunjun) with a simple interface to sync data end-to-end without complex scripts. Its v5.0.0 adds Pipeline AI Agent, letting you describe needs in natural language for auto-pipeline creation, smart plugin installs, and low-cost AI like DeepSeek. Install quickly via single-node, Docker, or K8S. This saves you time, cuts errors, simplifies ETL tasks, and boosts fun, efficient data pipelines for real-time analytics. https://github.com/datavane/tis

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@kejiqu · Post #4116 · 01/31/2026, 01:44 AM

有人将 Apple 最令人恼火的 bug 变成了浪费人类时间的计分板 一个新网站将 Apple 最为持久的软件 bug 转化为一个幽默的计分板,利用夸张的数学计算来估算这些 bug 造成的集体人类时间浪费。该网站旨在以一种轻松的方式呈现 Apple 长期存在的软件问题,并量化其对用户的影响。9to5Mac 🏷#Apple#bugs#scoreboard#wasted#time 📢频道👥群组📝投稿