Amazon SageMaker Data Agent Enhances Analytics with Charting and Materialized Views

New features in Amazon SageMaker Data Agent enrich data analysis by enabling interactive visualization and query performance optimization across AWS and Snowflake data.

By Eva Hart · Editorial pseudonym · 2026-04-03 · 1 min read

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-04-03. Source published: 2026-04-03. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Amazon SageMaker Data Agent now offers inline interactive charts and supports querying Snowflake data combined with AWS Glue data catalog sources using natural language prompts. Users can generate visualizations like monthly revenue trends directly within SageMaker Unified Studio notebooks, enhancing data exploration without manual coding.

Additionally, the agent analyzes query patterns to recommend and automate the creation and scheduling of materialized views, improving analytics efficiency. These capabilities are available in all AWS regions supporting SageMaker Unified Studio, extending Data Agent’s function beyond code generation to full data lifecycle interactivity.

Source & further reading

Amazon SageMaker Data Agent introduces charting capabilities and support for materialized views ↗

Source published 2026-04-03. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.