Apache Hadoop, every mention
29 scenes (2013), the whole family · ← back to Apache Hadoop
tap a year for its mentions
every year 2013 anyone Matt Turck 80Stefan Groschupf 28Justin Borgman 22Mike Olson 19Tobi Knaup 15M.C. Srivas 14Florian Douetteau 12Ashish Thusoo 11Mike Driscoll 10Kirill Sheynkman 10
Verbatim, from the transcripts: the passages where Apache Hadoop comes up
Mike Dauber, Battery Ventures // Data Driven NYC 19 // October 2013 (interviewed by Matt Turck)
- ▶ 3:53 Mike Dauber If you look at Hadoop being applied to, you know, the broader tech companies, including the NSA, it's very interesting that the companies now that are coming up with the new technology are big consumer companies and not the government and…
- ▶ 6:02 Mike Dauber What are the equivalents on the big data side that solve a problem that presents itself as an application where the end user doesn't have to know what Hadoop or Voldemort or Cassandra or Mongo or any of these, ah, alphabet soup of terms…
Vaclav Petricek, eHarmony // Data Driven NYC 19 // October 2013
- ▶ 11:48 Vaclav Petricek So, in terms of our setup and tools that we are using, ah, we, we have, like, a modeling, ah, box which happens to have one terabyte of memory, which is nice, ah, and, ah, that sits next to a Hadoop cluster, so we have a Yarn cluster for…
- ▶ 11:48 Vaclav Petricek So, in terms of our setup and tools that we are using, ah, we, we have, like, a modeling, ah, box which happens to have one terabyte of memory, which is nice, ah, and, ah, that sits next to a Hadoop cluster, so we have a Yarn cluster for…
Arnab Gupta, Opera Solutions // Data Driven NYC #17 // June 2013
- ▶ 18:24 Arnab Gupta Most of the activity right now in the Hadoop and the data management there, and that's where the activity is today.
Panel discussion // Data Driven NYC #12 // Jan 2013
- ▶ 1:36 Justin Borgman Uh, I read his paper on Hadoop TV, um, mostly just out of curiosity, and I found it fascinating, and I met him, we hit it off really well, and I said, Dan, we, we have to commercialize this. 3 times in the scene
- ▶ 13:56 Sharmila Shahani-Mulligan I think what HADAPT is trying to do is very interesting because they recognize that bringing structured and unstructured data together is absolutely necessary, and it needs to be brought together in a single platform to avoid all the data… 2 times in the scene
- ▶ 40:59 Justin Borgman Uh, which you think of, you know, major retail, you wouldn't think they would be, you know, compared to Facebook, but, but they are, and they're making huge investments in Hadoop and starting to get rid of all these different siloed data… 3 times in the scene
Panel discussion // Data Driven NYC #9 // Nov 2012
- ▶ 8:11 Nick Walter You know, like, I can't go into a meeting with ESPN and or the NFL and go into, like, how cool Hadoop is or, you know, how much I love R or something like that.
- ▶ 11:17 Matt Turck What's, I mean, I don't know, are you like Hadoop users? 6 times in the scene
Panel: Big data and VCs (Accel, IA Ventures, Data Collective) // Data Driven NYC #8// Oct 2012
- ▶ 14:35 Ping Li In fact, you know, most of the Hadoop clusters you see in the enterprise are not that big, but it's they're doing things they couldn't do before because they're taking unstructured data and mixing it with other relational data and actually… 2 times in the scene
- ▶ 37:57 Matt Turck As Hadoop won the day. 22 times in the scene
Fireside chat with Dwight Merriman // Data Driven #8 // Sep 2012 (interviewed by Matt Turck)
- ▶ 5:37 Dwight Merriman You know, you need it at the application, you need it down at the bottom of the network layer, you need it for data processing, thus things like Hadoop exist, right, and you need it at the data layer too, and I think, ah, the data layer is…
- ▶ 40:10 unnamed speaker How are you integrating with Hadoop and ETL, vice versa? 6 times in the scene
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
- ▶ 6:38 Todd Papaioannou So I was like, right, I'm going to go, I'm going to go to the font of big data to where Hadoop has been created.
- ▶ 14:03 Gary Vidal Um, I guess a point to Todd, um, you know, with, with the Hadoop being kind of the single most player in the big data space, um, Dean Wampler kind of put it out there and said, like, uh, you know, Hadoop is like the EJBs of, you know, the… 6 times in the scene
- ▶ 19:53 Todd Papaioannou Yahoo built Hadoop because they didn't have anything and they were already on kind of like third 3 times in the scene
Panel: Metamarkets, Kaggle and Quid // Data Driven NYC #4 // Mar 2012
- ▶ 3:39 unnamed speaker One of which was, at what point do I do Hadoop? 2 times in the scene
- ▶ 29:52 Mike Driscoll Uh, then if you've got Hive installed on your Hadoop cluster, they can run their queries and get their data, but it's critical that they have, you know, a certain level of data engineering expertise. 3 times in the scene
- ▶ 39:13 Mike Driscoll Um, companies are already running Hadoop. 5 times in the scene
- ▶ 52:46 Mike Driscoll Easy, flexible ways to push our algorithms into where the, the data lives, um, whether that be a relational database or a Hadoop cluster or, you know, what have you. 2 times in the scene
Matt Turck, Bloomberg Ventures // Data Driven NYC# 3 // Feb 2012
- ▶ 2:52 Matt Turck Hasn't been announced yet, but it's, uh, a Hadoop, uh, in the cloud solution.
- ▶ 9:02 Matt Turck Um, you know, Hadoop is an open source framework that happened to be derived from the work that Google did, and Yahoo is a massive contributor to Hadoop. 2 times in the scene
- ▶ 11:19 Matt Turck So everybody's gonna realize sooner or later that Hadoop is really complicated to install.
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 4:26 Kirill Sheynkman Ah, kill the elephant is their motto, so they're very, ah, they, they, they, they, they're, they're anti-Hadoop, and I think, it's not about anti-Hadoop, Hadoop, there's nothing wrong with Hadoop. 7 times in the scene
- ▶ 13:13 Kirill Sheynkman Uh, Hadoop was a decade, more than a decade old, right? 3 times in the scene
Hilary Mason, Bitly // Data Driven NYC #3 // Feb 2012
- ▶ 0:48 Hilary Mason Um, and I'm really just gonna talk a little bit about our philosophy at Bitly with working with data, and a little bit more broadly about what a data scientist is, is it a thing, and why Hadoop sucks.
- ▶ 12:24 Hilary Mason That's, that's true, and we spent a lot of hours of Hadoop figuring that out.
- ▶ 20:10 Hilary Mason You haven't yet gotten to the point where Hadoop sucks. 3 times in the scene