Semantic aggregation over millions of rows in BigQuery with AI.AGG

For more than a decade, BigQuery has helped set standards for structured data aggregation, calculating financial sums, counting active users, and computing historical averages at a petabyte scale in seconds. But as modern enterprises become inundated with unstructured data — application logs, customer service transcripts, product imagery, and diagnostic reports — a critical gap has emerged. Historically, relational SQL engines have lacked the native ability to aggregate, synthesize, and extract…

Source: Google Cloud pricing (GPU / TPU), published 2026-11-05. The summary is the Hub's own; the full story is at the source. Report a rights or accuracy concern