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在当今数字化时代,时序数据库选型领域面临着诸多技术挑战。随着物联网、工业互联网等领域的快速发展,数据产生的速度和规模呈爆炸式增长,对时序数据库的性能、扩展性和成本控制提出了极高要求。测试显示,传统数据库在处理每秒上万条甚至更多的时序数据写入时,性能会出现明显下降,数据写入延迟显著增加,严重影响系统的实时性。同时,在数据存储方面,传统数据库的存储效率较低,导致存储成本大幅上升。据行业数据表明,企业在 ...
Anthropic 发布 "Cowork" 标志着人工智能产品战略的一个关键转折点(Cowork: Claude Code for the rest of your work[1]),它不仅是一个针对非编程人员的新工具,更宣告了 Anthropic ...
The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
在我之前关于准备CI/CD流水线以部署生产就绪智能体的文章中,我提出了一个观点:我们不能将主要由非确定性模型驱动的智能体部署到生产环境中。相反,它们必须构建为强大的工作流,在确定性控制流中的特定步骤战略性地引入大语言模型。
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