sandeep adwankar

Agents are only as good as the context they're given. In this session, see how AWS Context makes the agentic experience in Amazon SageMaker more accurate and useful by grounding agents in business metadata.

As organizations scale their analytics infrastructure, they deploy multiple Amazon Redshift clusters for workload isolation, cost attribution, and performance optimization. For each new cluster, teams must create databases linked to each data share and recreate permission policies locally.

Join this interactive session to learn strategies for building secure and scalable data lakehouse architectures. You will get practical experience in implementing different lakehouse patterns using AWS Lake Formation as a single control plane for managing permissions across multiple data stores.