Uber, every mention
17 scenes (2016), the whole family · ← back to Uber
tap a year for its mentions
every year 2016 anyone Praveen Murugesan 22Benedict Evans 16Matt Turck 12Aaron Katz 9Peter Fenton 7Jeff Glueck 4Justin Borgman 3Joe Reisinger 3Anant Bhardwaj 3Jerry Liu 2
Verbatim, from the transcripts: the passages where Uber comes up
The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark)
- ▶ 0:09 Praveen Murugesan So, uh, just a little bit about me, like, I've been with Uber about, like, over, just over two years, and, uh, like, when I joined Uber, I actually initially joined as an engineer in the, uh, data infrastructure team. 2 times in the scene
- ▶ 0:55 Praveen Murugesan So, starting with Uber's mission, so I guess everyone knows about Uber, so we are in a transportation company, like, Uber's mission itself is to, like, uh, build transportation as reliable as, like, running water everywhere and for… 2 times in the scene
- ▶ 1:13 Praveen Murugesan So, when starting to build out, like, data infrastructure for Uber, it obviously starts with, like, understanding who our audience are, and then, like, what they really, like, need, uh, before we started out to, like, build out, like, uh,… 6 times in the scene
- ▶ 3:20 Praveen Murugesan So, here's how Uber's infrastructure kind of started when I came into Uber, and for the scale at which we are running at that point, this was something that actually worked, so it wasn't, I wouldn't say it was like a bad architecture, so…
- ▶ 5:26 Praveen Murugesan Um, so it was originally written with, like, Python, Celery, and, like, some, like, uh, original technologies which Uber, people at Uber were very familiar with. 4 times in the scene
- ▶ 8:15 Praveen Murugesan So, I'll start with, like, uh, UDK, which we call the Uber Developer Kit. 2 times in the scene
- ▶ 11:56 Praveen Murugesan So this is another big area of interest within Uber. 4 times in the scene
- ▶ 16:44 Praveen Murugesan This is something that we've done heavily at Uber, and mostly we've taken approach of, like, filling in the gaps, and not always, like, you know, going off and starting to build a new thing, like, as such.
Venture Capital Investor Panel: Investing in Big Data (Data Driven NYC / FirstMark)
- ▶ 16:34 Matt Turck That, ah, you know, was, was paralyzed by, ah, Innovator's Dilemma, that type of thing, and if you fast forward to today, and now all the little AI startups are essentially competing against Google, and Facebook, and Uber, and, ah, you…
A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
- ▶ 10:13 Neha Narkhede Since we open sourced it, you know, roughly five years ago, Kafka is used in thousands of companies worldwide, from Uber, and LinkedIn, and Netflix, all the way to traditional enterprises like eBay, and PayPal, and Cisco, and Goldman Sachs.
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 10:03 Peter Fenton What's the proclivity of the founder to micromanage, and so all these things, I think, you know, lend themselves to an individual having a very deep relationship, so that's how the firm's been built, and it has this, this wonderful…
- ▶ 14:33 Peter Fenton So, which, but what you needed was not a Google dweebish engineer like what you see in, in some things like, ah, well, I'm not going to pick on Kubernetes, um, but, but, ah, you needed as a leader, an entrepreneur, and, and, and Spencer…
- ▶ 28:34 Peter Fenton So, in an application company, it turns out, I think, that the at-scale providers, companies like New Relic, or people who are already moving terabytes of data, or Uber, they can apply the technologies for machine learning, um, and, and,… 2 times in the scene
- ▶ 39:57 Peter Fenton Oh my god, and then they, like, you had, like, Hibstomatic, or so, so, so there's this, like, five-year gestation period, or how long did the phone have to have GPS before you could actually launch a business model like Uber?
- ▶ 42:16 Peter Fenton You know, Uber and Didi. 2 times in the scene
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
The Role of Data in Pluralsight's Technology Learning Platform // Aaron Skonnard, Pluralsight
- ▶ 32:46 Aaron Skonnard Think of it like the Uber connection into small deals like that.