Google, every mention
40 scenes (2022), the whole family · ← back to Google
tap a year for its mentions
every year 2022 anyone Matt Turck 174Benedict Evans 40Spencer Kimball 37Dylan Patel 30Amr Awadallah 29Sridhar Ramaswamy 24Johnny Graettinger 23Jordan Tigani 20Neil Zeghidour 19Noah Weiss 18
Verbatim, from the transcripts: the passages where Google comes up
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 4:32 Spencer Kimball So I was at Google in 2002, and we kind of ran head first into this with their AdWords system, which very quickly grew beyond the capacity of a single MySQL instance, and so they started adding more MySQL instances, 8 times in the scene
- ▶ 4:32 Spencer Kimball So I was at Google in 2002, and we kind of ran head first into this with their AdWords system, which very quickly grew beyond the capacity of a single MySQL instance, and so they started adding more MySQL instances,
- ▶ 6:03 Spencer Kimball Um, you know, uh, building things internally and also providing on GCP.
- ▶ 8:44 Spencer Kimball It's really around survivability, and that was one of the key things that we, we sought to build into the product from the start, and it was one of the things that motivated Megastore at Google and then Spanner at Google. 2 times in the scene
- ▶ 33:02 Spencer Kimball I'd, I'd built software at Google, for example, for Google engineers, and that was sort of more the, the, the mental model I was comfortable with, and the idea of having potentially hundreds or thousands of, of customers that, uh, needed… 2 times in the scene
- ▶ 42:44 unnamed speaker I just, I just saw that Google introduced what they're calling blockchain node engine for web .3, like a database to, you know, that can be used for 6 times in the scene
- ▶ 48:05 Spencer Kimball Ah, and when we, when we were building AdWords at Google, that was in the year 2000 two, I guess, 2003 when we were doing that. 2 times in the scene
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 2:36 Joe Reis You, you, you go on a Google, and it's like, what is data engineering, Matt? 2 times in the scene
- ▶ 9:53 Matt Housley And in particular, um, Google had this notion, Google Cloud had this notion of a data life cycle.
- ▶ 9:53 Matt Housley And in particular, um, Google had this notion, Google Cloud had this notion of a data life cycle.
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
- ▶ 6:07 Alex Dean So we support Snowflake and Databricks and Redshift and BigQuery.
- ▶ 7:49 Alex Dean They would say things like log into Google Analytics and get what you need, and that's not what we wanted.
- ▶ 12:13 Alex Dean Uh, individual package to, um, to basically being Snowflake or Databricks or BigQuery.
- ▶ 22:04 unnamed speaker Um, you probably get this question a lot, but how do you compare Snowplow with, ah, Google Analytics and Segments and other sort of off-the-shelf things that you can just get? 3 times in the scene
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 16:04 Benn Stancil Like, Google to me is one of those companies that's sort of like, what are you doing? 4 times in the scene
- ▶ 16:14 Benn Stancil They haven't pieced it together yet, but I think, like, that's another place where something like Snowflake comes a little bit under risk if we start to buy data products the same way we buy, like, cloud infrastructure, where if you're… 2 times in the scene
- ▶ 17:29 Benn Stancil You want to centralize it into your central warehouse, be it Snowflake or Databricks or BigQuery or whatever.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 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.
- ▶ 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.
Automated Data Discovery | Select Star's Shinji Kim
- ▶ 1:32 Shinji Kim That's not just coming from your apps and websites, but also from all the SaaS apps and Google Sheets and different places that people are munging and changing and utilizing data on.
Harnessing AI to Make Video Creation a Breeze | Runway’s Cris Valenzuela
- ▶ 0:09 Cris Valenzuela Um, and what Runway basically does is, um, we help companies like CBS, Assembly, Google, Red Lab, Facebook, VaynerMedia, Vox, RGA, and countless other companies create better video content faster and literally at a fraction of the cost…
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 0:57 Johnny Graettinger Uh, I've got a, uh, Cloud SQL, a Postgres box running in, uh, Google Cloud Platform.
- ▶ 4:33 Johnny Graettinger So we built ones already for talking to things like analytics warehouses or cloud storage or tools like elastic that are, you know, more operational in nature, or, uh, in this case, the humble Google sheets. 3 times in the scene
- ▶ 4:51 Johnny Graettinger We need, like, a service account that we can get from Google Cloud Platform, and we need a spreadsheet ID to know what we're actually materializing into, and we've got to pick a couple of, um, a couple of tables that we're actually going…
- ▶ 5:32 Johnny Graettinger Okay, so what we are looking at right now, um, is a live view of essentially a Postgres table that is being live synchronized into this Google Sheet. 3 times in the scene
- ▶ 6:36 Johnny Graettinger Like, those are totally fine in Google Sheets. 8 times in the scene
- ▶ 8:21 Johnny Graettinger If you try and make updates to Google Sheets any faster than that, Google starts to rate limit you.
- ▶ 9:54 Johnny Graettinger Also sort of transform, um, data that's coming from this database on the fly, and materialize roll-ups and summaries of what's happening in our Google Sheet with live updates. 4 times in the scene
- ▶ 12:38 Johnny Graettinger Which was acquired by Google, and we ended up working together very closely there, and then started our own, uh, different, different company in 2014.
- ▶ 13:13 Matt Turck So your example is focused on Google Sheets as the sort of end point. 2 times in the scene
- ▶ 13:23 Johnny Graettinger Um, some of the first ones we built were sort of analytics warehouses, like being able to, to maintain views in Snowflake or, uh, BigQuery or Postgres itself.
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 3:54 Tristan Handy Google Analytics, and Mixpanel, and these kinds of very kind of vertical specific tools that, um, you were very constrained in the set of things that you could know about the world in this given, given tool.
- ▶ 7:56 Tristan Handy ELT is really allowing data analysts to go upstream and do, ah, the, the, the, you know, you, you extract the data from source data systems, you load it into, you know, originally Redshift, but now Snowflake and BigQuery and et cetera, um,…
Fireside Chat: Felix Van de Maele (Co-Founder & CEO, Collibra) with Matt Turck (Partner, FirstMark)
- ▶ 14:22 Felix Van de Maele If you're purely technical metadata within BigQuery or Snowflake or Databricks and so on.
Fireside Chat - Azeem Azhar (Author, The Exponential Age) with Matt Turck (Partner, FirstMark)
- ▶ 9:24 Azeem Azhar So Google is number one, and some of us can name Bing, and a handful of people use DuckDuckGo, but who's the fourth biggest search engine in the US? 3 times in the scene
- ▶ 12:01 Azeem Azhar As true for Apple and Google and everyone else.
Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
- ▶ 26:07 Emil Eifrem And that didn't use, like, and Google moved there five, seven years ago, and they, they spoke publicly about it, graph-based machine learning, right? 2 times in the scene
Fireside Chat: Richard Craib (Founder & CEO, Numerai) with Matt Turck (Partner, FirstMark)
- ▶ 6:14 Richard Craib Um, you know, the people at Google translate are not really good at languages.
- ▶ 13:42 Richard Craib So, sort of true, if, if a lot of people have staked, um, on Google, then, uh, with Google as a high rank in their signal, then that stock would be something, um, the meta model would want to buy.