Amazon, every mention

31 scenes (2022), the whole family · ← back to Amazon

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Verbatim, from the transcripts: the passages where Amazon comes up

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▶ 14:57 Spencer Kimball So if everyone in here is aware of Snowflake, I mean, they're, they're building on the, the cloud data storage primitives, like S three or Google cloud storage, and that's, that's a huge benefit by having that primitive, that's able,…
▶ 15:51 Spencer Kimball Ah, so most, it was introduced with, ah, I think, like I said, nothing's new in computer science, so I don't know what the very first usage was, but the one that I became aware of was AWS's Lambda. 2 times in the scene
▶ 21:45 Spencer Kimball So in other words, the way that AWS offers their databases to all of their customers.
▶ 26:43 Spencer Kimball When we started the company, it was, it was, I think, a good bet that that's, that was the right way for us to do it, and we operated under that until it started to become clear that open source business models were under threat, in… 4 times in the scene
▶ 27:19 Spencer Kimball And what Amazon did is they said, you know, we can, we can repackage the open core, put our own enterprise things around it, and most of the work's already been done for us to create this piece of software, and we're going to repackage it. 2 times in the scene

▶ 4:39 Jack Berkowitz And we're on some of the data exchanges, you know, like the AWS one, or the Snowflake one, for example.
▶ 18:29 Jack Berkowitz Um, but our, our cloud stack is, is, you know, we're proud of the fact that it's in AWS.
▶ 18:44 Jack Berkowitz Uh, but, but on top of that, we, we build layers, so we use some of the Amazon data systems, we also use Databricks, we use Snowflake, and we use a few other vendors in terms of data lineage and security on top of those.
▶ 21:56 Matt Turck Are you, like, a SageMaker shop, or, like, what do you use? 3 times in the scene
▶ 25:35 Jack Berkowitz You know, AWS had an outage in December.

▶ 26:30 Matt Housley And, uh, this is something that's responsible for like a lot of horrifying AWS bills and horrifying snowflake bills.
▶ 28:51 Joe Reis Um, you know, so that was the rise of the ETL and the data warehouse, and then around the time of, um, you know, Redshift came out, and it suddenly had cloud, you know, and the possibility of, of running things much more cheaply and…

▶ 6:07 Alex Dean So we support Snowflake and Databricks and Redshift and BigQuery.
▶ 16:57 Alex Dean And, uh, and yeah, and it was just, it was just Yali and I in a room for sort of three years, driving each other potty, working on kind of project community fit. 3 times in the scene
▶ 18:54 Alex Dean Um, Redshift hadn't even come out yet, so we were just working with, um, Apache Hive on, on, on Elastic MapReduce, and it was a really clunky experience.
▶ 18:54 Alex Dean Um, Redshift hadn't even come out yet, so we were just working with, um, Apache Hive on, on, on Elastic MapReduce, and it was a really clunky experience. 3 times in the scene

▶ 15:07 Benn Stancil You can run it for way less price than you're probably paying for Snowflake. 4 times in the scene
▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
▶ 33:25 Benn Stancil Um, all that stuff can be rebuilt on top of, like, a data infrastructure instead of on top of just sort of AWS and S-three and EC-two and all that kind of stuff.
▶ 40:30 Benn Stancil So if I, again, I can integrate a bunch of AWS services together really easily, but they're separate products, kind of.

▶ 2:20 Viraj Parekh Um, one thing I just want to point out about this, right, is architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can…
▶ 10:50 Pete DeJoy We have one in AWS, one in GCP, one in Azure. 3 times in the scene
▶ 21:56 Pete DeJoy You know, we see quite a lot of adoption of Amazon's MWAA service and Google's cloud composer service, and I think, like, that really is the first order threat we see at the moment.
▶ 21:56 Pete DeJoy You know, we see quite a lot of adoption of Amazon's MWAA service and Google's cloud composer service, and I think, like, that really is the first order threat we see at the moment.
▶ 22:23 unnamed speaker Uh, just in terms of the workflow, when you committed the code, did the, uh, was there a back end process that was responsible for building the AMI and pushing it out to AWS or like in terms of CA, you know, continuous integration? 2 times in the scene

▶ 3:25 Tristan Handy And at the time it was just red shift. 5 times in the scene

▶ 4:32 Felix Van de Maele And I think of it almost like the Amazonification of data, right?

▶ 12:46 Azeem Azhar So we know that, you know, if you're on Amazon's platform, um, 2 times in the scene
▶ 12:50 Azeem Azhar They will be looking at your, at what products you're selling, and they'll figure out whether they should build an Amazon Basics by looking at the data that competes with you.

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