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Unlike traditional approaches, AI agents have a different execution model. They explore by discovering datasets, inspecting schemas, generating queries, evaluating intermediate results, and revising their actions based on what they learn. Supporting this kind of workflow requires data platforms designed for autonomous actors.

This book shows how an enterprise lakehouse platform with open formats like Apache Iceberg handles these newer workloads and brings them together into governed and auditable agentic workflows. 

Find out how you can:

  • Support AI agents within an enterprise data platform
  • Use an open lakehouse as substrate for agents operating in a data platform
  • Implement governance, isolation, and context with Data agents
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