Apache Iceberg, every mention

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where Apache Iceberg comes up

loading…

▶ 15:03 Evan Kaplan This is, I think we started building this pre-delta share being obvious and iceberg being obvious, but we built it around parquet.
▶ 16:33 Matt Turck Uh, so that, and then, uh, for the sort of Databricks, Lakehouse, uh, iceberg kind of world, um, so first of all, like, I saw that you guys coined your own acronym. 3 times in the scene
▶ 20:45 Evan Kaplan And the idea of using iceberg is you effectively have zero ETL. 2 times in the scene

▶ 0:58 Matt Turck And the impact of Iceberg. 2 times in the scene
▶ 19:38 Sridhar Ramaswamy And as part of that, you know, adoption and adaption, we started supporting Iceberg as an open format. 2 times in the scene
▶ 49:40 Sridhar Ramaswamy And where things like icebergs still have work to do. 2 times in the scene
▶ 56:50 Matt Turck Since we were, uh, talking about the iceberg stuff, can you, uh, maybe walk us through the strategic decision, um, because iceberg is so, uh, fascinating, um, in terms of, uh, you know, Snowflake was, was, even though that was separated,… 6 times in the scene

▶ 0:38 Matt Turck The early bet on the lake house architecture and Apache iceberg. 3 times in the scene
▶ 15:45 Justin Borgman You even see the very traditional data warehouse companies embracing open formats and data lakes and, you know, the rise of iceberg, which I'm sure we'll talk about at some point, really playing an important role in that as well.
▶ 20:45 Justin Borgman Uh, and while there's been widespread embrace, I would say, especially last year in 2024, around open formats and Iceberg in particular really winning that format war, um, that's new. 8 times in the scene
▶ 30:30 Justin Borgman I think what we're seeing is, um, data application developers are choosing iceberg for storage because that gives them a lot of flexibility.
▶ 32:53 Justin Borgman So even if you're just accessing S three and you're going to be querying iceberg tables, 2 times in the scene
▶ 37:47 Justin Borgman And that's a particular thing that you want to do with iceberg tables to get better performance.
▶ 47:12 Matt Turck Um, so we, we, we did talk about Iceberg. 3 times in the scene
▶ 47:45 Justin Borgman I think the other thing that happened just maybe two weeks before that was that Snowflake also decided to support Iceberg. 8 times in the scene

▶ 6:20 Ben Rogojan (Seattle Data Guy) I said that Databricks had bought icebergs when I meant to say tabular, and I put that out there, and then I was like, oh, I, I didn't see it until I, like I was filming a video version, and I was like,
▶ 39:14 Ben Rogojan (Seattle Data Guy) Like we've kind of now set in a weird way, Iceberg, uh, as the de facto, like if we're going to use an open, open table format, that's going to be likely the one people will, I assume, pick, um, since everyone's now supporting it, right? 4 times in the scene
▶ 50:25 Ben Rogojan (Seattle Data Guy) Uh, I think some of this I might have referenced, but I think again, icebergs kind of cemented its stronghold, so to speak, right? 2 times in the scene

▶ 45:32 Jordan Tigani If you think about, um, you know, a lot of people who's, uh, we're hearing from a lot of people that, you know, that are using Snowflake and they're moving their data into usually iceberg, uh, as part of a, you know, as a cost reduction,… 2 times in the scene

▶ 33:55 Tomasz Tunguz Then you have the iceberg, uh, compute of, uh, separation of compute and storage where the biggest companies really want to keep their data on their own systems and then use iceberg and Parquet and Arrow as a specific format, uh, and then… 3 times in the scene

▶ 8:04 Matt Turck And then, you know, you could use iceberg on top to add some structure to it.

▶ 17:33 Matt Turck I think there was iceberg that came out around the, the same time. 2 times in the scene

Turn any episode into a week of clips.