📄 中文摘要
大多数分析管道仅仅测量发生了什么，而该架构旨在通过 LLM 驱动的语义增强来理解内容质量，超越简单的观看次数。该设计采用了类似于美钻式的 YouTube 分析管道，利用 AWS Bedrock 提供的语义智能，能够深入分析视频内容的重要性和影响力。这种方法不仅关注数据的表面现象，还试图揭示背后的原因，从而为内容创作者和分析师提供更有价值的见解。
基于 AWS Bedrock 设计分层 YouTube 分析管道（架构概述）
📄 English Summary
Designing a Layered YouTube Analytics Pipeline with AWS Bedrock (Architecture Overview
Most analytics pipelines focus on measuring what happened, but this architecture aims to measure why it matters by using LLM-powered semantic enrichment to understand content quality beyond mere view counts. The design features a medallion-style YouTube analytics pipeline that leverages AWS Bedrock for semantic intelligence, enabling a deeper analysis of the significance and impact of video content. This approach goes beyond surface-level data, seeking to uncover the underlying reasons, thus providing more valuable insights for content creators and analysts.