用 Denodo 与 Amazon Bedrock AgentCore 在 AWS 上构建智能体语义层
Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore
AWS 官方教程，教你用 Denodo 把 Aurora、Redshift 和本地 PostgreSQL 打成 customer 360，让 Bedrock AgentCore 里的智能体带权限地查数。
这篇 AWS 机器学习博客演示如何用 Denodo Platform 搭建面向智能体的受管语义层。方案将 Amazon Aurora、Amazon Redshift 和本地 PostgreSQL 数据库联邦成单一的 customer 360 视图。智能体通过 Amazon Bedrock AgentCore 以 VQL 查询该视图，身份在语义层逐级传递。行级和列级访问控制在语义层统一执行，避免在各智能体里重复实现权限逻辑。
Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore
Build a governed semantic layer for agentic AI on AWS with the Denodo Platform and Amazon Bedrock AgentCore. It federates Amazon Aurora, Amazon Redshift, and an on-premises PostgreSQL database into a single customer 360 view an agent queries in VQL, with identity propagation and row- and column-level access control enforced at the semantic layer.