Google BigQuery, every mention

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Verbatim, from the transcripts: the passages where Google BigQuery comes up

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▶ 0:39 Jordan Tigani In BigQuery, we were very, very happy when we got the overhead down to, like, 400 milliseconds.
▶ 2:17 Jordan Tigani the database, the, the query sizes they were using was a hundred terabytes, and I remembered back from my time at BigQuery, um, you know, we had some of the, 4 times in the scene
▶ 8:45 Matt Turck Uh, if you already have, uh, you know, BigQuery in place or Snowflake or Databricks or like the whole, like, big data, uh, kind of infrastructure or modern data stack, whatever you call it, 6 times in the scene
▶ 19:06 Jordan Tigani Uh, you know, BigQuery and Redshift and, um, and this thing that I'd never heard of called DuckDB. 3 times in the scene
▶ 36:19 Jordan Tigani And, you know, we did this in BigQuery, and, you know, ClickHouse does, um, you know, a lot of these, these engines build these, like, hand-coded, vectorized execution engines, because, because there, there are computer instructions that…
▶ 49:00 Jordan Tigani And, and it keeps getting better, and they're writing more research papers on, on this, versus if you look at other, other database companies, when I was at BigQuery, we put a college new grad on, on, you know, the CSV, and they worked on…
▶ 54:50 Jordan Tigani And so I was part of the team that helped, helped start Google BigQuery. 4 times in the scene

▶ 25:48 Aaron Katz Um, in the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery, uh, and Redshift, and Snowflake, um, either for

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