Amazon, every mention
51 scenes (2018), the whole family · ← back to Amazon
tap a year for its mentions
every year 2018 anyone Matt Turck 122Benedict Evans 33Bob Muglia 25Spencer Kimball 18Prat Moghe 18Evan Kaplan 16Justin Borgman 15Tristan Handy 14Nate Stewart 13Aaron Katz 13
Verbatim, from the transcripts: the passages where Amazon comes up
$0 to $60M in 2 Years // Bob Moore, Crossbeam (FirstMark's Data Driven NYC)
- ▶ 7:13 Bob Moore Because the release of Amazon Redshift, and the data warehousing tools, ah, that compete with Redshift afterward, ultimately, ah, threw a wrench right in the middle of this system. 2 times in the scene
- ▶ 8:10 Bob Moore Companies like Looker came onto the scene, companies like Periscope, Chartio Mode, ah, and companies put out by much larger companies like, ah, Tableau, the Power BI product sweep, Amazon release QuickSight, all of these BI solutions at…
- ▶ 8:10 Bob Moore Companies like Looker came onto the scene, companies like Periscope, Chartio Mode, ah, and companies put out by much larger companies like, ah, Tableau, the Power BI product sweep, Amazon release QuickSight, all of these BI solutions at…
A New Kind of Logging System // Zach Sherman & Ben Johnson, Timber (FirstMark's Data Driven NYC)
- ▶ 9:11 Zach Sherman Um, the data plane requests information from the control plane about where data should be going, and then it flows through from sources through this transformation step, uh, into the actual syncs, and so that could be S three, or Splunk,… 2 times in the scene
- ▶ 9:32 Zach Sherman So just like the old diagram, you see data still comes in from all of our clients, gets put on a, put on a Kafka or Kinesis stream.
- ▶ 10:54 Zach Sherman And so this lets you actually sample the data and determine like, hey, maybe I only want to send, uh, 20% of the data to Splunk and a hundred percent of it to S three because I'm in financial services and I need to store that data for…
- ▶ 12:51 Zach Sherman Basically, people are sampling the request that they sent to Splunk, still using it because it's a great tool, but they're also using a different time series database, and then they're sending all of that data to a cheaper long-term store,…
Fireside Chat: Mike Tuchen, CEO of Talend (TLND) (FirstMark's Data Driven NYC)
- ▶ 8:07 Matt Turck Uh, created, but you have, so the databases, this is what I'm talking about, the databases, um, on one side as a source, and then you have the processing layer, uh, that used to be Teradata Oracle IBM, which is now Spark, Snowflake,… 3 times in the scene
- ▶ 11:26 Mike Tuchen AWS, but what in AWS, right?
- ▶ 22:25 Mike Tuchen It should be like a Google searchable thing or probably better, better analogy is like an Amazon searchable thing because you can search for it and then get a little, you know, sort of selector window on the side saying drill down by a…
- ▶ 33:32 unnamed speaker And if the cloud vendors are taking different strategies, they're taking away a partnership with Google, they have this partnership strategy and serve entities, serve entities, infrastructure like AWS.
- ▶ 35:18 Mike Tuchen Um, Amazon was first of the, by far the broadest, um, breadth of offerings. 5 times in the scene
- ▶ 36:08 Mike Tuchen Now they have a premise edition of RDS.
Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
- ▶ 6:55 Spencer Kimball This is a pretty interesting and common way to run Cockroach, and it's similar to what Amazon's doing with Aurora.
- ▶ 6:55 Spencer Kimball This is a pretty interesting and common way to run Cockroach, and it's similar to what Amazon's doing with Aurora.
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 18:10 Florian Douetteau You can either use it on, Dataku is on-prem, but you can deploy it with Amazon very, very easily, and actually spin up EMR cluster or things on top of Kubernetes directly from the, from the platform.
- ▶ 18:10 Florian Douetteau You can either use it on, Dataku is on-prem, but you can deploy it with Amazon very, very easily, and actually spin up EMR cluster or things on top of Kubernetes directly from the, from the platform.
3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC)
- ▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
- ▶ 3:02 Ajay Kulkarni There's Amazon, who published the Dynoa paper, and, and these really, you know, created the foundation for the, for the, the wave of the first commercial big data systems, which included Hadoop, Cassandra, and Mongo.
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 6:05 Chris Dixon That's how you talk to your Alexa.
- ▶ 9:29 Chris Dixon Uh, I think for some applications, like speech, you know, uh, speech is going to be, I think, very tough for non, you know, I mean, like Google and Amazon with their, you know, with their, and Apple with their phones and the, and the, you…
- ▶ 9:29 Chris Dixon Uh, I think for some applications, like speech, you know, uh, speech is going to be, I think, very tough for non, you know, I mean, like Google and Amazon with their, you know, with their, and Apple with their phones and the, and the, you…
- ▶ 20:09 Chris Dixon They're not, uh, you know, and like, I love the Alexa and things, but what do you use it for?
A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
- ▶ 11:32 Ben Vigoda Now let's just see, let's just try out another, another audience on Alexa here. 2 times in the scene
Make AI Less Mysterious // Serkan Piantino, Spell (FirstMark's Data Driven)
- ▶ 19:39 Serkan Piantino So, uh, I think in the demo there that was running on Kate is on AWS.
- ▶ 23:03 Serkan Piantino Um, in a normal workflow, you have a huge number of logs, and let's say they sit in S three.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
- ▶ 0:25 Jon Hyman I'm sure Amazon is probably taking a look at this pretty hungrily to see what they can mine out of that data themselves.
- ▶ 1:31 Jon Hyman Facebook and Amazon and just countless others that are personalizing really well essentially raise the bar for everyone else regardless of what industry they're in.
- ▶ 4:41 Jon Hyman We would hit our data warehouse, um, which was not Snowflake, and, uh, we would upload it from, like, be 10 to hundred gigabytes or so of data, uh, based on a request, upload it into an S-III bucket, and then they would download it.
- ▶ 7:57 Jon Hyman So Kafka Connect takes these events out of Kafka, batches them together to be efficient, and then actually does the downstream sending to amplitude, redshift, um, all those other kinds of things.
- ▶ 12:09 Jon Hyman We're currently hosting our Elasticsearch instance on Amazon.
- ▶ 14:03 Jon Hyman I mentioned that we're running on Amazon Elasticsearch.
- ▶ 16:11 Jon Hyman So that's actually why we started the Elastic Hash service.
- ▶ 16:24 Jon Hyman And we were able to put it into Amazon, um, and then we ran out of disk space, um, and then we overwhelmed it. 3 times in the scene
- ▶ 20:31 Jon Hyman Uh, we, we've had some fun integration to Alexa or Facebook Messenger.
Fireside Chat with Bob Muglia, CEO at Snowflake (FirstMark's Data Driven)
- ▶ 2:36 Matt Turck Um, somewhere, but, uh, last quarter, uh, AWS reported a, uh, ten billion run rate, uh, growing at 45%, and then Microsoft Azure, uh, reported a seven million dollar run rate accelerating at 98%.
- ▶ 5:15 Bob Muglia I think it's more like a five to seven year period, and, you know, we can almost think about Amazon finishing that first period now, because it was, what, 2008 when they launched? 2 times in the scene
- ▶ 12:52 Bob Muglia So I knew there'd be a lot of change, and that most of the interesting things that were happening outside of an Amazon, a Google, and a Microsoft were happening in smaller companies, and so I sought a company that had, ah, that was doing…
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 14 times in the scene
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 6 times in the scene
- ▶ 19:08 Matt Turck So, so starting with AWS, correct me if I'm wrong, but it feels from my perspective that, you know, Redshift is probably the, the biggest competitor in Redshift is an Amazon product. 4 times in the scene
- ▶ 19:54 Bob Muglia Three, depending on whether you want to include Athena and Spectrum in that. 2 times in the scene
- ▶ 24:07 Bob Muglia I said we're on Amazon today and, you know, we're getting feedback about other clouds, so one of the biggest things is how can we help replicate data between systems, um, and ensure that, that companies are able to have their data and, and… 2 times in the scene
Every Business Will Need a Data Refinery // Mark Johnson, Descartes Labs (FirstMark's Data Driven)
- ▶ 4:19 Mark Johnson So Amazon as a data refinery for, um,
- ▶ 23:49 Mark Johnson Um, but yeah, so you look for things like that, like data, uh, government, uh, data sets, um, you know, you can look into things like social media, you can run things through Mechanical Turk, you can get pretty creative
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 4:34 Diego Oppenheimer In some cases, it might be with a little bit more beefy infrastructure, uh, doing on GPUs and on AWS or in Azure.
- ▶ 9:22 Diego Oppenheimer Three, it's actually software agnostic, so I can actually deploy this maybe in a data center inside AWS, maybe in a data center inside, you know, GCP, maybe I want to do it on premise.
- ▶ 10:11 Diego Oppenheimer Which means all, everything here that's not in graph is complete waste of either computational resource, or if I'm actually using it in the cloud, I'm just paying, I'm sure Amazon is not complaining, but, you know, you're just paying for…
- ▶ 15:50 Diego Oppenheimer So if I'm actually going to be calling data in a specific cloud client, it doesn't matter if that data is in S-III.
- ▶ 18:20 unnamed speaker I don't necessarily, because I'll give two names out, you know, data science experience from IBM and Amazon SageMaker, I'm sure your two biggest competitors, and those are not, those are not small competitors, so can you kind of expand on…
- ▶ 23:15 Diego Oppenheimer So we have good relationships with all the cloud providers, and some of them we actually do co-selling experiences with them where, you know, we're, you know, we're informing their sales forces to say, hey, this is a product that exists on…