GUIDE · COMPANIES · #2259
AtScale C2026.7 walkthrough: build a semantic layer for Amazon Bedrock AgentCore agents
A technical walkthrough demonstrates using AtScale (C2026.7) as a dimensional semantic layer (modeled in SML) for agentic workflows on Amazon Bedrock AgentCore. The post shows a Strands agent running on AgentCore (with Anthropic Claude Sonnet 4.6 for the demo), how AtScale exposes a single model over SQL/XMLA/MCP, identity and RBAC propagation through AgentCore to AtScale, query pushdown to Amazon Redshift Serverless, and deployment on Amazon EKS.
KEY POINTS
- A technical walkthrough demonstrates using AtScale (C2026.7) as a dimensional semantic layer (modeled in SML) for agentic workflows on Amazon Bedrock AgentCore.
- The post shows a Strands agent running on AgentCore (with Anthropic Claude Sonnet 4.6 for the demo), how AtScale exposes a single model over SQL/XMLA/MCP, identity and RBAC propagation through AgentCore to AtScale, query pushdown to Amazon Redshift Serverless, and deployment on Amazon EKS.
- This matters because it shows how a dimensional semantic layer can centralize metric definitions, access control, and query planning for foundation-model-driven agents, enabling consistent, secure analytics answers in enterprise environments.
WHY IT MATTERS
This matters because it shows how a dimensional semantic layer can centralize metric definitions, access control, and query planning for foundation-model-driven agents, enabling consistent, secure analytics answers in enterprise environments.
SOURCES & TIMELINE
1In the first post in this series , we built a semantic layer on AWS using Stardog’s knowledge graph over Amazon Aurora and Amazon Redshift . We ran a Strands agent on Amazon Bedrock AgentCore against that layer. The second post kept the same customer 360 (C360) pattern and swapped in Denodo’s data virtualization platform, extending the source mix to include an on-premises PostgreSQL cluster. This post uses the same C…
Agentic AI applications need governed access to live enterprise data. That data can live in operational systems, analytical warehouses, SaaS applications, other clouds, or on premises. In the previous post in this series , we built a semantic layer on AWS using Stardog’s knowledge graph over Amazon Aurora and Amazon Redshift. A Strands agent on Amazon Bedrock AgentCore queried that layer. Amazon Bedrock AgentCore is …