Google Cloud, every mention
23 scenes (2019), the whole family · ← back to Google Cloud
tap a year for its mentions
every year 2019 anyone Daniel Chia 17Spencer Kimball 14Nick Rockwell 12Matt Turck 11Amr Awadallah 7Ali Dasdan 5Aaron Katz 5Eliot Horowitz 3Anant Bhardwaj 3Solmaz Shahalizadeh 2
Verbatim, from the transcripts: the passages where Google Cloud comes up
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…
- ▶ 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…
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 0:40 unnamed speaker Uh, turns out that you need to have managers when you, when you grow teams, uh, and I'm fairly happy to be working with a team of really amazing and talented engineers, uh, working on Spanner, uh, which is the main database that Google… 6 times in the scene
- ▶ 1:17 Daniel Chia Um, so just to help you understand where I'm coming from, um, what is Spanner? 3 times in the scene
- ▶ 2:17 Daniel Chia But the really cool thing about Spanner is we use this technology called TrueTime, which allows us to get an estimate of what is the exact accurate time anywhere in the world to assign a unique timestamp to every transaction that Spanner… 3 times in the scene
- ▶ 3:50 Daniel Chia Over here, I'm going to talk about how Spanner applies to it, to a relational table, but this can be applied in many other kinds of big data systems that need to distribute work across many machines. 2 times in the scene
- ▶ 7:07 Daniel Chia Um, but the problem is Spanner is a relational database and people expect to be able to do queries like, you know, select all songs where the singer ID is three and the album ID is greater than one.
- ▶ 8:31 Daniel Chia Um, so what Spanner does is something different.
- ▶ 10:42 Daniel Chia So what we can do is Spanner will actually notice that, Hey, the load on these shards are increasing.
- ▶ 12:18 Daniel Chia As a small side note, you must think that maybe my life as a Spanish engineer is horrendous. 2 times in the scene
- ▶ 14:54 Daniel Chia So unless Spanner has a crystal ball to be able to predict in five seconds exactly where in the key range you're going to be writing to, we can't split it. 2 times in the scene
- ▶ 15:48 Daniel Chia Uh, the two examples that I mentioned in the Cloud Spanner blog post, but in, in essence, it's a distributed relational database that works really well, so there's very little reason to choose it unless you have a very specific workload… 2 times in the scene
Fireside Chat: Nick Rockwell, CTO of The New York Times (FirstMark's Data Driven NYC)
- ▶ 5:25 unnamed speaker So Google and the New York Times have had a partnership for many years, and we think it's actually an ideal partnership to leverage the power of Google Cloud's technology.
- ▶ 12:38 Nick Rockwell Um, but otherwise it's, you know, we're using Google storage and GCS and, and, uh, um.
- ▶ 12:53 Nick Rockwell Um, I think we, you know, I don't know if we want to get into it or not, but this is like the culmination of a long process that we've done to migrate almost everything we're doing to Google Cloud.
- ▶ 14:03 Nick Rockwell I've been watching Google Cloud for a while. 6 times in the scene
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 14:20 Nick Rockwell So, and from, so we're like, okay, data, we're gonna go all, um, all Google, which is like PubSub, Dataflow, Dataproc into BigQuery.
- ▶ 20:53 Nick Rockwell Um, it doesn't, it also, it does include Cloud Functions, but I'm personally not that interested in Cloud Functions.
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.
- ▶ 5:40 Anant Bhardwaj Or it could be this one, ah, which is Google Cloud Services.
- ▶ 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.