Amazon Web Services, every mention
9 scenes (2014) · ← back to Amazon Web Services
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Verbatim, from the transcripts: the passages where Amazon Web Services comes up
John Rauser, Pinterest // Big Data at Pinterest // Data Driven NYC (Hosted by FirstMark Capital)
- ▶ 0:42 John Rauser Uh, I am currently a data scientist at Pinterest, uh, but before I joined Pinterest, I worked at Amazon for eight years, and for the last two of those eight years, I worked in AWS infrastructure. 2 times in the scene
Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 5:38 Vance Loiselle We run about a 2000 node cluster right now in AWS.
- ▶ 8:12 Vance Loiselle First, and you hear a lot about cloud, and it was great, the previous presentation about Mesosphere, about AWS. 3 times in the scene
Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
- ▶ 10:51 Tobi Knaup And so, uh, infrastructure 2.5 was, um, we used, uh, AWS Elastic MapReduce, so we no longer had to, um, you know, manage the Hadoop cluster ourselves. 2 times in the scene
Ashish Thusoo, Qubole // Data Driven #26 // April 2014 (Hosted by FirstMark Capital)
- ▶ 8:29 Ashish Thusoo I think AWS has, like, uh, the Amazon Cloud has, like, twenty-odd machines, maybe even more.
Amit Bendov, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 25:34 unnamed speaker So if we assume this is great, how quickly do we load this onto AWS or other cloud platforms to, uh, start running? 2 times in the scene
Michael Schmidt, SiSense // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
- ▶ 3:14 Michael Schmidt Um, it runs locally on your own machine, or it can go out into the cloud, into Amazon's cloud at, at a click of a button.