AtScale Builds a Dimensional Semantic Layer for Agentic AI on AWS
AtScale introduces a dimensional semantic model on AWS, replacing graph‑based layers used in earlier posts. The model, defined in the open Semantic Modeling Language (SML) and versioned in Git, is exposed via SQL, XMLA, and the Model Context Protocol (MCP). A Strands agent on Amazon Bedrock AgentCore queries this layer, with identity and role‑based access control propagated through AgentCore’s identity features. The solution is deployed on Amazon EKS using AtScale’s Helm chart.
This demonstrates how a dimensional semantic layer can be integrated with Amazon Bedrock AgentCore to enable secure, query‑driven agentic AI, a key interest for readers focused on AI, data architecture, and cloud‑native deployments.
Source: AWS Machine Learning Blog · aws.amazon.com