Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

（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

为什么AI越聪明，越需要BI？

2026年8月，IDC发布了中国Data Agent领域的首份Market Scape厂商评估报告——《中国Data Agent厂商评估，2026》。这份报告覆盖数据管理、治理与分析全链路，考察的是Data Agent的综合能力，而非某一项功能。评估对象涵盖互联网厂商、云服务厂商、大数据厂商等十余家头部企业，包括阿里云、火山引擎、腾讯云、星环科技等各赛道玩家。

Excel 的单元格将支持输入多个值

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”。

Simplify dashboard drill-down with the Amazon Quick Sight hierarchy filter

（翻译）使用 Amazon Quick Sight 层次筛选器简化仪表板下钻

Amazon Quick Sight is a fully managed, cloud-native business intelligence (BI) capability for building and publishing interactive dashboards. The new hierarchy filter gives dashboard authors rich, multi-level filtering in a single compact control, reducing clutter and guiding readers to the data the

Downgrading user roles in Amazon Quick

（翻译）在 Amazon Quick 中降级用户角色

Amazon Quick doesn't offer a direct console path to downgrade a user from Admin or Author to Reader. This post walks through two reliable methods: a manual delete-and-recreate approach and an AWS CLI step-down sequence that downgrades roles safely while preserving asset ownership.