Apache Hadoop, every mention
38 scenes (2014), the whole family · ← back to Apache Hadoop
tap a year for its mentions
every year 2014 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 Olson, Cloudera // The Cloudera Story (Hosted by FirstMark Capital)
- ▶ 4:44 Mike Olson And this, uh, uh, long-haired kid at Google called Christophe Achille, who was kind of evangelizing the scale-out Hadoop platform. 6 times in the scene
- ▶ 6:22 Matt Turck So, you know, Hadoop has been one of this, you know, incredibly hyped terms, um, and, uh, you know, that's going through the usual. 6 times in the scene
- ▶ 9:33 Mike Olson These days when people talk about Hadoop, what they mean is HDFS and MapReduce, yeah, yarn for resource management. 4 times in the scene
- ▶ 9:33 Mike Olson These days when people talk about Hadoop, what they mean is HDFS and MapReduce, yeah, yarn for resource management.
- ▶ 11:01 Matt Turck So, where, where does, um, clad era, um, fit in the general Hadoopica system? 4 times in the scene
- ▶ 14:39 Mike Olson The Hadoop that was then available, which was HDFS and MapReduce, was powerful, transformative.
- ▶ 18:18 Mike Olson The inventor of Hadoop, Google Ventures, the inventor of MapReduce and GFS took a stake.
- ▶ 24:17 Mike Olson The dashboards you use to run your data center Hadoop cluster, that's not always going to be differentiated. 4 times in the scene
- ▶ 27:35 Mike Olson Trying to bring an alternative Hadoop distribution to market is going to be capital intense and long-term painful.
- ▶ 30:48 Tony Baer Question, I, I was tempted to ask you about Hadoop disappearing, which you spoke of at Hadoop World, and I think you were kind of talking about that with the abstracts now, but I want to ask you another question, which is basically, um,… 2 times in the scene
- ▶ 34:18 Mike Olson Neither one of those is particularly Hadoopi, right?
Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014
- ▶ 9:49 Catherine Williams Instead of having to go bribe the data guy for, like, you know, 15 minutes worth of minute-level data, and he liked really expensive whiskey, we were actually able to get our own Hadoop cluster for the first time and get raw logs. 2 times in the scene
- ▶ 14:48 Catherine Williams We had, we have a 16 node Hadoop cluster currently, and I have on my proposed budget for 2015, a 200 node Hadoop cluster so that we can really get our hands on all that raw data of the thirty billion impressions we're transacting daily.
Mike Abbott, KPCB // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital)
- ▶ 3:26 Mike Abbott and you go, oh, you know, great, like, I've got this big Hadoop cluster. 2 times in the scene
- ▶ 7:00 Mike Abbott Because that's when all of a sudden, you know, the CIO, the CMO says, wait a second, I spent all this money on the Hadoop cluster and hiring these data scientists, which were impossible to hire, so we had to, like, pay them, you know,…
John Rauser, Pinterest // Big Data at Pinterest // Data Driven NYC (Hosted by FirstMark Capital)
- ▶ 1:14 John Rauser Um, I would tell them about Hadoop.
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 5:01 Vance Loiselle So, you know, early on we started building a platform like, oh, let's use Hadoop and HDFS and, you know, back then there was no real-time nature.
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 1:34 Tobi Knaup You're, you're using a couple different tools like Hadoop and Spark and, and whatever.
- ▶ 2:56 Tobi Knaup But, uh, you know, that's changed, and, and we're running a lot of distributed systems like Hadoop and 3 times in the scene
- ▶ 6:43 Tobi Knaup So, if you have competing applications, you know, like Hadoop and Spark, they all want resources. 2 times in the scene
- ▶ 10:21 Tobi Knaup So pretty quickly switched to Hadoop, and I called it a handcrafted Hadoop cluster because, you know, we had to set it up in-house. 3 times in the scene
- ▶ 10:31 Tobi Knaup And a couple different pieces, you know, Flume, HDFS, Hive, Pig, pretty typical for, for a big data stack. 2 times in the scene
- ▶ 19:40 Tobi Knaup So if you're using Hadoop, you, you would be running HDFS, and HDFS would take care of it. 4 times in the scene
Chris Lynch, Atlas Venture // Data Driven #28 // June 2014 (Hosted by FirstMark Capital)
Panel Discussion // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
- ▶ 17:11 unnamed speaker Uh, our tech stack, uh, primarily has been Postgres, uh, we're migrating to Hadoop.
Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
- ▶ 0:47 Ashish Thusoo You know, in my background, of course, as part of QBOL, we run, ah, very large Hadoop clusters on the cloud for, you know, companies like Pinterest, 2 times in the scene
- ▶ 2:40 Ashish Thusoo I'll just go through some of the examples of what a particular infrastructure team needs to do in each of the scenarios of, you know, while running, you know, Hadoop on-prem versus, you know, running Hadoop on the cloud. 4 times in the scene
- ▶ 8:02 Ashish Thusoo Once, uh, you know, once you're started, once you're, you know, you have deployed, you know, Hadoop in production, once you're doing your analytics and stuff like that, the cloud environment gives you additional flexibility in choosing,…
- ▶ 14:44 Ashish Thusoo Should I just take Hadoop and run it myself on the cloud, or should I, you know, do something else? 3 times in the scene
- ▶ 16:05 Matt Turck So, especially on the, sort of, large, sort of, Fortune 500 type companies, because, you know, some of your predecessors here, who, you know, build, sort of, Hadoop on-prem solutions, if you ask them to say, well, you know, not in a… 5 times in the scene
- ▶ 21:18 David Kim So when you're a, a smaller startup, uh, beginning, at what point does it make sense to use a service sort of like yours as opposed to trying to do Hadoop on the cloud ourselves? 6 times in the scene
Sandy Steier, 1010data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 3:43 Sandy Steier Uh, and in particular, this sort of, the database engine itself is being replaced to a certain degree with things like Hadoop. 2 times in the scene
Tasso Argyros, Aster Data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 2:01 Tasso Argyros And the simplest way, I guess, to describe it in half a slide is kind of a hybrid between a database system and Hadoop, right? 3 times in the scene
Ian White, Sailthru // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
Scott Sorensen, CTO of Ancestry.com // Data Driven 19 // October 2013 (Hosted by FirstMark Capital)
- ▶ 0:30 Scott Sorensen Um, actually before that, let me ask, how many of you guys use, uh, Hadoop?
- ▶ 6:44 Scott Sorensen Uh, Probably the most interesting uh, uh,, or rather I,, I guess what I'd like to do is maybe just take you a little bit through the transition that we made into um, Hadoop and HBase and talk a little bit of specifically about how we use…
- ▶ 13:49 Scott Sorensen And, um, and, and so what we needed to do is we needed to create, um, algorithms that we could parallelize before we could put them onto Hadoop and, and, and make them scale. 4 times in the scene
- ▶ 16:32 Scott Sorensen It runs on HDFS, so it has built-in redundancy.