Escaping Data Gravity and Infrastructure Debt: Why the AI Era Demands an Agentic Data Cloud
For years, enterprises invested heavily in decoupled analytics stacks—separating underlying storage from complex, third-party compute clusters. While this approach offered initial flexibility, it has introduced a steep operational debt that must be paid. Highly skilled data engineers spend their working hours sizing compute clusters, managing idle capacity, and building fragile
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