Jitender Aswani was customer zero for Presto at Meta, scaled it at Netflix, and now runs engineering and security at Starburst, the data platform built on Trino. On Chain of Thought he explained why the average enterprise has 52 to 200 data sources, why centralizing them will never work, and what happened to Starburst’s query volume the day they shipped an MCP server.
MCP (Model Context Protocol)AI HardwareEnterprise AI
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A traditional enterprise will have anywhere between 52 to 200 data sources. The federation is the only model that scales with entropy. Can centralization scale with entropy? No, because the entropy is constantly increasing. Imagine agents without access to all the data, without access to the right contacts. What would they do?
Data Federation, Not Centralization, Is What Enterprise AI Needs