对很多公司来说，数据基础设施就像一个黑盒子：数以百万计的数据点被送进去，复杂查询在里面运行，然后报表被吐出来。但一旦系统变慢、成本飙升，或者某个关键 dashboard 突然空白，想找到根因就像在黑暗里摸索。为了让这个问题更清晰地被看见，实时购物平台 Whatnot 在 Snowflake Summit 2026 上与 Snowflake 同台分享了他们的实践。这个合作案例说明，现代数据工具可以在巨大的实时压力下，依然让客户体验保持顺滑、可靠且完全可见。
Solidot是至顶网的科技资讯网站，主要面对开源自由软件和关心科技资讯读者群，包括众多中国开源软件的开发者，爱好者和布道者。口号是“奇客的知识，重要的东西”。
Solidot是至顶网的科技资讯网站，主要面对开源自由软件和关心科技资讯读者群，包括众多中国开源软件的开发者，爱好者和布道者。口号是“奇客的知识，重要的东西”。
银行系科技公司正面临前所未有的尴尬：内部被视为IT外包，外部难敌互联网大厂。未来五年，行业洗牌加速，单纯依赖总行输血的时代终结。本文结合招银云创、建信金科等头部案例，拆解银行金科公司破局的五条关键路径，从产品化转型到机制改革，为从业者指明生存与增长之道。
AI工具泛滥的时代，数据分析如何真正创造价值？陈老师总结的AI版SOP，从业务需求出发，强调数据成果的实用性与包装，教你摆脱人肉SQL机的命运，用数据驱动决策，让每一次分析都成为升职加薪的跳板。
（翻译）AI 数据新方法让社区掌握主导权
A new Microsoft research project helps communities shape how they're represented in AI-generated images and future AI systems.
（翻译）AI 驱动的元数据修正与协调
Metadata harmonization (standardizing labels, identifiers, and formats so datasets can work together) is still largely manual. This post shows how AI-powered metadata correction works in practice, covering two approaches, human-in-the-loop validation and autonomous agent-driven workflows, plus gover
（翻译）智能体数据运维平台（ADOP）：数小时完成数据工程
The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-to-Gold data pipeline lifecycle, compressing new-source onboarding from weeks to hours while keeping data governance and compliance controls
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第1部分：设置Snowflake环境
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第2部分：使用Amazon SageMaker Canvas进行数据准备和模型构建
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码ML工作流——第3部分：使用Amazon Quick Sight可视化洞察
In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stake
（翻译）使用Amazon Quick Desktop和Amazon FSx for NetApp ONTAP实现受治理的报告
Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.
