Snowflake, every mention

18 scenes (2022), the whole family · ← back to Snowflake

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where Snowflake comes up

loading…

▶ 2:20 Spencer Kimball And you contrast that to an analytical database like, uh, Snowflake or,
▶ 14:57 Spencer Kimball So if everyone in here is aware of Snowflake, I mean, they're, they're building on the, the cloud data storage primitives, like S three or Google cloud storage, and that's, that's a huge benefit by having that primitive, that's able,…

▶ 4:39 Jack Berkowitz And we're on some of the data exchanges, you know, like the AWS one, or the Snowflake one, for example.
▶ 18:03 Matt Turck Uh, and, um, switching to the tools of the trade and the stack and all those, I mean, you guys seem to be a big, uh, Snowflake shop, or at least Snowflake seems very keen on telling that you're a big Snowflake shop. 5 times in the scene

▶ 14:41 Matt Housley Or, yeah, yeah, data engineers really need to know Spark, or they need to know Python, or they need to know Pandas, or Snowflake, or whatever technology it is.
▶ 23:26 Matt Housley And what I mean is that people will take, like, Snowflake and do a whole bunch of single row inserts into it. 4 times in the scene

▶ 12:13 Alex Dean Uh, individual package to, um, to basically being Snowflake or Databricks or BigQuery. 3 times in the scene

▶ 12:04 Matt Turck Snowflake, which is like the company everybody loves, and that's actually the most highly valued, uh, software company in the world in terms of multiple, uh, and you, you wrote very interestingly, which I think is a fantastic, um, thought… 18 times in the scene
▶ 17:29 Benn Stancil You want to centralize it into your central warehouse, be it Snowflake or Databricks or BigQuery or whatever. 6 times in the scene
▶ 32:45 Benn Stancil I don't know if it's as big as like web hosting stuff, but it becomes something where, like Snowflake's ambition to me. 6 times in the scene

▶ 2:20 Viraj Parekh Um, one thing I just want to point out about this, right, is architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can…
▶ 12:16 Pete DeJoy In order to actually write this dag, I'm doing some lightweight kind of snowflake transformation and data aggregation just with plain old SQL. 3 times in the scene
▶ 18:12 Pete DeJoy So I can see both my tasks, i.e. those SQL queries and Python functions I just ran, predict user trends, and I can introspect the tables that they're actually producing in my snowflake instance under the hood.

▶ 20:17 Gleb Mezhanskiy The way we do this is by performing, doing log analysis, so we would, let's say, if using Snowflake or Databricks, we would connect to Snowflake, we would download the logs of all the SQL statements that were executed, and then we are… 2 times in the scene

▶ 7:56 Tristan Handy ELT is really allowing data analysts to go upstream and do, ah, the, the, the, you know, you, you extract the data from source data systems, you load it into, you know, originally Redshift, but now Snowflake and BigQuery and et cetera, um,…
▶ 21:49 Tristan Handy It's executing on Snowflake, or this is a Python-based data transformation.

▶ 4:42 Barr Moses So you're seeing companies like BigQuery with 1.5 billion dollars in revenue, Snowflake with a billion dollars in revenue,
▶ 13:39 Barr Moses Um, so we basically need read, uh, read-only access to, um, let's say like Snowflake and Looker, for example, and then what we do is, um, we start actually collecting sort of metadata and statistics about your data, and so what we do is we… 2 times in the scene

Turn any episode into a week of clips.