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Cloud Data Warehouses, Snowflake, and FinOps

Research and technical expertise in cloud data-warehouse optimization, workload-aware control, resource sizing, and cost/performance tradeoffs.

How should a cloud warehouse adapt as workloads, performance objectives, and cost constraints change?

Keebo translated workload-aware learning into autonomous resource control for cloud data warehouses, with related work on query and pipeline optimization.

Selected research

  • SIGMOD 2023 automated warehouse optimization research
  • Workload telemetry and learned system control
  • Research-to-industry translation through Keebo