DataOps for AI-Ready Platforms
summary
Argues that DataOps is the foundation for agentic, AI‑ready platforms and shows a working stack: queries run over Iceberg on S3 via Athena or Redshift, agents live in Amazon Bedrock, and users edit models in SageMaker Unified Studio. A 139 million‑row table feeds agents that auto‑generate SQL, pick the optimal engine, return results plus actionable insights, and an AIOps agent analyzes 184 Glue jobs and audit logs in DynamoDB to find performance and governance fixes, demonstrating hours‑to‑minutes speedups.
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chapters (8)
- 0:00Introduction to DataOps for AI
- 1:25Challenges in data platforms
- 7:01Next-gen agentic data platform
- 18:20SageMaker Unified Studio demo
- 23:20Platform governance and DataOps
- 28:38Oana on DataOps fundamentals
- 35:34Five pillars of DataOps
- 44:50Conclusion and Q&A
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