Scala, every mention
6 scenes · ← back to Scala
tap a year for its mentions
every year anyone Savin Goyal 2Kirill Sheynkman 1Joe Reisinger 1Catherine Williams 1Ben Rogojan (Seattle Data Guy) 1
Verbatim, from the transcripts: the passages where Scala comes up
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 16:56 Ben Rogojan (Seattle Data Guy) Um, obviously in some places they still use Scala, um, and other languages for, for one reason or another, but I thought it's probably the most prevalent.
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 4:51 Savin Goyal So, uh, we have a number of Jupyter, uh, contributors working at Netflix, uh, as well as we have yet another open source project called Polynode, which focuses on Scala first notebook experience, uh, predominantly geared towards machine…
- ▶ 24:18 Savin Goyal So, uh, if let's say your use case focuses on a different language, like, you know, for example, decade ago, most of machine learning innovation was happening in Scala and JVN languages.
Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014
- ▶ 15:32 Catherine Williams We're using Scala that give us just an enormous power to actually derive data, or derive insights, rather, from these huge swaths of data.
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 25:15 Joe Reisinger It's written in Scala.
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 4:56 Kirill Sheynkman It's, it's, it's pretty, ah, hairy stuff, but it's, it's a system that has APIs in Scala and in Java, and they're working on JavaScript and, and Python, where you can take a function and basically the MapReduce becomes three lines of code.