Amazon, every mention
45 scenes (2019), the whole family · ← back to Amazon
tap a year for its mentions
every year 2019 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
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 2:25 Ahmed Elsamadisi We started with Redshift, and then we ended up buying Snowflake.
- ▶ 18:26 Ahmed Elsamadisi Where you'll quickly start seeing that the speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 4:26 Matt Turck Well, I can do this, but like Amazon is going to steal your business. 4 times in the scene
- ▶ 9:44 Matt Turck Amazon, but there's been like some, you know, Chinese cloud providers as well. 10 times in the scene
- ▶ 10:09 Mike Volpi So Amazon or a Chinese service provider, whoever could comfortably take it and run the software with it, and that's what, like, Elastic MapReduce on Amazon runs on.
- ▶ 11:14 Mike Volpi They wrote something called DocumentDB, which is a copy, effectively, with API compatibility to Mongo and launched that.
- ▶ 23:36 Mike Volpi Um, companies like Federal Express or, um, UPS or Amazon are interested in delivering goods to your house.
- ▶ 32:01 unnamed speaker Um, you know, just recently the government gave Azure a ten billion dollars contract over Amazon. 6 times in the scene
Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
- ▶ 21:05 Kurt Rohloff Amazon's making plenty of money off of it.
Empowering Superheroes at Work // Rich Waldron, Tray (FirstMark's Data Driven NYC)
- ▶ 15:54 Rich Waldron Um, be it we have a CSV connector which we were tested out, ah, a customer tested us on very recently by dropping a four gig CSV file into that to see if we could batch it up and break it up and put it into a Redshift database and
- ▶ 16:47 unnamed speaker It's kind of the same struggle when you have with AWS, where you get sprawl and you give people enablement.
(Actually) Listening at Scale // George Davis, Founder & CEO (FirstMark's Data Driven NYC)
- ▶ 2:46 George Davis We have public forums, so Twitter as Matt's accepting questions on, or, ah, or, ah, review sites like Amazon or Google.
Rebooting AI // Gary Marcus, Robust AI (FirstMark's Data Driven NYC)
- ▶ 4:53 Gary Marcus Um, another technique is speech recognition, and, you know, the fact that Siri or Alexa can understand your syllables is primarily because deep learning is very good at recognizing categories like words, and so, um, that's revolutionized…
- ▶ 6:29 Gary Marcus Um, by people working for Amazon Mechanical Turk and similar.
Apache Druid & An Introduction to Data Rivers // FJ Yang, Imply (FirstMark's Data Driven NYC)
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 8:47 Solmaz Shahalizadeh Um, and then, uh, right now, as of last year, we've been in, uh, GCS, Google Cloud, so, uh, and then in terms of, uh, sort of query layer, we use things like, uh, Presto heavily, a little bit of Redshift, um, and then, like, different…
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 19:43 Benn Stancil Um, which tools are they using if they're investing in other data tools, if they're investing in, in data warehouses like Redshift or Snowflake or, or even stuff like Oracle or Vertica.
Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
- ▶ 2:55 Justin Borgman Um, this is, uh, maybe a little hard for some of you guys to see, uh, but it shows at the top, uh, a variety of popular BI tools that you can connect to using ODBC or JDBC drivers, and on the bottom, a variety of data sources, and you'll…
- ▶ 3:23 Justin Borgman Uh, if you're an AWS user, you might have heard of something called Athena. 2 times in the scene
- ▶ 3:23 Justin Borgman Uh, if you're an AWS user, you might have heard of something called Athena.
- ▶ 8:07 Justin Borgman So we'll, we'll just use AWS as an example here.
- ▶ 8:10 Justin Borgman You have EC two, which is your compute, and you have S three, which is your storage. 2 times in the scene
- ▶ 8:10 Justin Borgman You have EC two, which is your compute, and you have S three, which is your storage. 2 times in the scene
- ▶ 10:17 Justin Borgman So even though that data lives in S-III,
- ▶ 10:34 Justin Borgman So, you know, a few years ago, a lot of people were moving data from, let's say, a large database or data warehousing appliance into HDFS, the Hadoop file system, but now many people are moving that into S three.
- ▶ 10:49 Justin Borgman You might have had Cloudera or Hortonworks on-prem, and now you're thinking about, you know, how that's going to look in AWS.
Fireside Chat: Ben Uretsky, Founder of DigitalOcean (FirstMark's Data Driven NYC)
- ▶ 3:20 Ben Uretsky Um, but even more important, Amazon Web Services had started to become mainstream, and so virtualization and cloud computing was starting to really dominate the landscape, and we became very concerned about a five-year outlook for that… 6 times in the scene
- ▶ 7:48 Ben Uretsky Uh, how do you enter the cloud market that was essentially dominated by AWS? 2 times in the scene
- ▶ 18:09 Ben Uretsky Um, you know, or, you know, even with, um, AWS or DigitalOcean for that matter, we all have incubator and accelerator programs with a ton of credit.
- ▶ 28:11 Ben Uretsky Sometimes you need to crunch a new data set, or try out a new data, ah, project, and if you have to go to AWS today, I'm sure you're gonna really enjoy, you know, spinning up that new server, spinning up that new project, and what we're…
Fireside Chat: Martin Casado, General Partner at Andreessen Horowitz (FirstMark's Data Driven NYC)
- ▶ 15:16 Martin Casado But like, if you look at companies, um, like, I think maybe AWS was kind of the progenitor of a lot of this.
- ▶ 20:26 Martin Casado You know, AWS is hugely proprietary, but it's based on a lot of open source software, and even if everything is open source, often, like, all of the operational code required to stand up these large environments is proprietary, or there's…
- ▶ 22:31 Martin Casado These larger incumbents, you know, Google, Amazon, and Microsoft to compete against with you. 2 times in the scene
CI/CD for Machine Learning & AI // Dillon Erb, Paperspace (FirstMark's Data Driven NYC)
- ▶ 13:25 Dillon Erb Uh, how do we beat Google, Amazon, everyone else?
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 13:03 Nick Rockwell I'm still a certain asset running at Amazon.
- ▶ 13:38 Nick Rockwell Of our own least, you know, data centers, a lot of stuff in, in AWS, some of it in the VPC, some of it's just laying around in like AWS classic, um, and not really a strategy around what, how, why we were doing what. 5 times in the scene
- ▶ 18:54 Nick Rockwell I think it's true, and the other, um, factor, the really, the bigger factor is that the level of investment going into infrastructure from the big cloud providers dwarfs, and even, even, you know, the investment of effort that, like, a…
- ▶ 21:06 Matt Turck In a different data center, which is Amazon's or Google's, right? 2 times in the scene
5 Key Learnings About Intelligent Agents // Dennis Mortensen, x.ai (FirstMark's Data Driven NYC)
- ▶ 8:45 Dennis Mortensen They're probably going to spin up a new instance on Amazon through the command line.
- ▶ 9:13 Dennis Mortensen Just like, uh, I love my Alexa.
- ▶ 18:21 Dennis Mortensen Any one of you who's got some Amazon Alexa device will see that every 10 days they'll send you a long email suggesting you can do these 50 things.
Why Does The World Need Another Computer? // Anant Bhardwaj, Instabase (FirstMark's Data Driven NYC)
- ▶ 5:14 Anant Bhardwaj Earlier people used mainframes with terminals, then basically we went into servers and desktops, and now we are basically getting into this cloud with Amazon and Google Cloud and Microsoft.
- ▶ 5:29 Anant Bhardwaj And we might think of, like, this could be one, which is Amazon Web Services, many of you already know.
- ▶ 16:47 Anant Bhardwaj You can run it anywhere, which could be on your local host, on any cluster of machines, on Amazon or Google Cloud or whatever.
Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)
- ▶ 17:29 Allon Bloch And plus, you have, you have Apple, Amazon, and Google that are very likely to be in this market and probably compete directly here.