Skip to content
K = 0.731

AWS Publishes Guide to Building an AtScale Semantic Layer for AI Agents

1 reports 1 reporting sources 2 hours agoNew

Understand the event

AI overview

AWS published a tutorial showing how to build a Customer 360 semantic layer with AtScale over Amazon Redshift and connect it through MCP to a Strands agent hosted on Amazon Bedrock AgentCore. The walkthrough uses Claude Sonnet 4.6 and compares the agent’s results with Excel totals. The guide covers defining datasets, dimensions, hierarchies and measures in Semantic Modeling Language (SML), with models versioned in Git. It also explains query aggregation, identity propagation, access controls and deployment on Amazon EKS. AWS notes that each AtScale query executes in a single warehouse engine.

Generated by AI from reports · Updated 2 hours ago

Latest development10/20 23:33 (UTC+8)
Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCoreAWS Machine Learning Blog

Report timeline

Follow the reports to explore different sides of the event.

10/20
  1. AWS Machine Learning Blog
    Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore

    This guide builds a Customer 360 semantic layer with AtScale over Amazon Redshift, connecting it through MCP to a Strands agent hosted on Amazon Bedrock AgentCore. It covers Git-versioned SML models, query aggregation, identity propagation, access controls, and deployment on Amazon EKS. The walkthrough uses Claude Sonnet 4.6 and compares agent results with Excel totals, while explaining that each AtScale query executes in one warehouse engine.

Tomorrow at 08:00, a briefing like this arrives in your inbox.

The same kind of briefing as the one above: a few stories worth reading. Free. Mail starts after you confirm, and every letter has a one-click unsubscribe. Read a past issue

Event heat trend

There is not enough continuous observation data to plot a trend yet.

Keep reading

Latest daily · Issue 27TorchNeuron brings native PyTorch support for Hugging Face models on AWS Trainium

Trending now

  1. 1DeepSeek Open-Sources DeepInfer and Companion Components, With Model and Hardware Limits
  2. 2Mistral Releases Voxtral 3 Speech Models and LiveKit-Based Voice Agent SDK
  3. 3Perplexity Adds Fully Local Mac Operation to Computer
  4. 4OpenAI Introduces Coding Evaluations and Reports Gains in Low-Resource Programming Languages