Unpredictable Queries, Predictable Latency: Architecting Joins for Analytical Agents
Dashboards ask the same handful of questions every day, which is what makes precomputation work: denormalize, roll up, and the engine only has to scan. Agents ask a different question every time. They join tables nobody modeled together and filter on columns no dashboard exposes, so there is nothing prepared for the query when it arrives.
Join this architecture talk to learn what AI agents need from an analytical engine, how to plan for agent workloads, and how to deliver sub-second joins at scale.
Upcoming
Past events
Real-Time Analytics Has an Update Problem: and the Architecture That Fixes It
AI Council
AMER Data Streaming World Tour — Chicago
Hot Queries and Cool Beverages - a PhoenixAI Happy Hour.
AWS Summit Los Angeles
Introducing PhoenixAI. Built for Agents That Query, Reason, and Act.
Data + AI Summit — Databricks
AWS Summit New York & Partner Summit