Lyft, every mention
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every year anyone Matt Turck 8Javier de la Torre 2Gleb Mezhanskiy 2Pete DeJoy 1Mark Grover 1Justin Borgman 1Jon Hyman 1Jack Hanlon 1Daniel Ramot 1Benn Stancil 1
Verbatim, from the transcripts: the passages where Lyft comes up
How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
- ▶ 25:08 Aaron Katz Um, Druid is an example, uh, where Lyft recently, the ride-sharing company, migrated off of Druid and onto ClickHouse.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 19:06 Pete DeJoy Um, and again, we've taken so much inspiration from very, very talented teams that we've worked with through the years at Airbnb and Lyft and Sishfix and others that, um, have really bolted on solutions like these of their own.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 2:25 Gleb Mezhanskiy In my years of data engineer at Lyft, I was unlucky to break down, well, actually blow up the entire data platform by making a three line SQL code hotfix that filtered a little bit more rights than I anticipated.
- ▶ 7:12 Gleb Mezhanskiy Um, those are two solutions that I've used as a data engineer at Lyft and other companies where I worked.
Fireside Chat: Mark Grover (Co-Founder & CEO, Stemma) with Matt Turck (Partner, FirstMark)
- ▶ 4:38 Matt Turck And, you know, like a lot of great entrepreneurs, you experienced it firsthand at Lyft.
- ▶ 15:45 Matt Turck The, the open source project at Lyft, like, 6 times in the scene
- ▶ 23:45 Mark Grover Um, so some context here is before Lyft, I was at Cloudera.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 12:13 Jack Hanlon Yeah, we're, we're using, um, um, Amundsen, the Lyft data dictionary, and we're trying to contribute to that project as well.
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 2:04 Alok Gupta You know, when you think about companies like Lyft who are matching
- ▶ 10:48 Matt Turck Maybe compare and contrast this overall infrastructure against what you saw at Airbnb and Lyft.
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 18:44 Benn Stancil Companies like, like Lyft have started to define data scientists as kind of everybody, and they have research scientists, which are kind of the traditional data scientists that build models.
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 17:04 Justin Borgman You know, that's Lyft here in the US, um, that's GrabTaxi in Singapore, that's, uh, uh, OlaCabs in India, that's Kareem in the Middle East.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
Reengineering Urban Transit // Daniel Ramot and Saar Golde, Via (FirstMark's Data Driven)
- ▶ 1:57 Daniel Ramot But, um, it's on demand, um, so you, you, you book a ride on your smartphone, uh, pretty similar to Uber, Lyft, and so forth.
Problem Solving With Geospatial Data // Javier de la Torre, CartoDB (Hosted by FirstMark Capital)
- ▶ 4:34 Javier de la Torre Now, if you look at, you know, like, someone like Greenpoint or Williamsburg, you know, and see what is going to be affected of this, I mean, the first thing that you can think of is, like, Lyft and Uber are going to have a huge ride there. 2 times in the scene