Databricks

…The tools that we use are, I would say tools that most company use, from Databricks to Statsig.…

…And if you've got it in a cloud accessible warehouse, which companies of keyword size certainly do, like that's a Databricks or a Snowflake, you have that ability to scale and have massive parallelization.…

…Snowflake databricks, you know, choose your poison.…

…So you joined Databricks before you guys were.…

…It can live in aws, Azure, Snowflake, databricks.…

…Type a prompt like build me a self-service reporting tool that lets teams query customer metrics from Databricks, and they get a production ready app with the permissions and governance built in.…

…I think by having that flexibility, then if you decide to choose a certain SEM technology or a certain data lake like Databricks, Snowflake, or what have you, or the new Sentinel Lake, we can make the data available to that destination in the format it needs very easily, and that really opens up the visibility for the customer.…

…There's so much incredible stuff going on in terms of the implementations with Snowflake , Databricks , Data Lakes in general , and it's growing to such a massive scale , and we're going to talk about that today .…

…And then you have to make a very important decision, right? And, but if you sort of optimize for kind of batchish kind of things, like, I would suggest just making, like, a data lake or running in Databricks or something like this, because that's, a good kind of open place to put stuff.…

…portfolio, companies like Canva, which has arguably been one of the biggest and most successful Australian venture backed companies and if not one of the biggest marketings, we have businesses like Databricks in the portfolio for the audience.…

…Then finally, once you bring in the, the, the real production data, you know, John, that's a, a great point and, and you know, a little, a little pat on the back around Striim, Databricks, uh, Kafka, some of our other partners that we're working with, you know, and I would even point in this case to strain our ability now to get at data.…

…like, how do you enable data scientists to test algorithm in production? Easily, right? And we, you know, now there, now there's plenty of tooling for that that you can use like, like SageMaker and Databricks.…

…Just because like a, a data warehouse, um, or a data lake, or whatever you wanna call it, Databricks or Snowflake, essentially is the only play, the only place I see right now that can handle all that data.…

…We get the proprietary databases Snowflake and Databricks and Clickhouse.…

…Type a prompt like build me a self-service reporting tool that lets teams query customer metrics from Databricks, and they get a production ready app with the permissions and governance built in.…

…My guest today is nobody else than Ari Kaplan, the Head of Technical Evangelism at Databricks.…

…And now on top of that they also have databricks who just surpass them in terms of revenue and company size.…

…Which is why we hear so much about cloud data platforms like Snowflake or Databricks.…

…Public cloud, private cloud, data cloud, Snowflake and databricks.…

…In this episode , I'm joined by Spencer Cook , senior Solutions Architect at Databricks .…

…But probably equally or even more importantly invest in understanding the role of data platforms like Snowflake DataBricks and either AWS's.…

…peaker A: or opportunity Opportunity and I think both the data infrastructure obviously companies like DataBricks, Snowflake and AI only works on good data and so I think now every enterprise, every business is realizing they need a centralized data lake data warehouse where they can have all their data and also most importantly…

…to look after uh building out their partnership business, which really included the work that we do with the public cloud hyperscalers, the partnerships that we have with companies like Snowflake, Databricks, certainly our work with Nvidia, and also uh how we engage the channel, so the traditional VAR, as well as a growing group of SIs.…

…So I joined Databricks as a solutions architect and I'm loving it.…

…I'm Martin from Lead Forensics, and today's guest is Andy Laws, sales development leader at Databricks and founder of RevRocket, where he helps companies design and scale sustainable pipeline generation systems.…

…My, my daughter had a cold last day, so it's been a little rough, but doing well, excited about a lot of the things I've been learning at Databricks.…

…peaker A: And then Stripe and Databricks definitely valued north of 100 billion, I believe.…

…let the drilling and completions departments kind of have access to some of these tools, 18:13 either coding agents or whatever, but they're able to quickly solve their problems and stuff like our Databricks and something like, why not give them a sandbox environment like this?…

…is that like a massive implementation of the 238 00:10:24,615 - > 00:10:27,885 data product architecture started and it's actually driven 239 00:10:27,885 - > 00:10:32,186 by major hyperscalers like Databricks, Microsoft Fabric 240 00:10:32,875 - > 00:10:33,895 snowflake, right?…

…Um, and it's just, you know, it's built, it's built on a data platform with databricks and we're just building off of that incrementally.…

…All of our machine learning uh, AI um is through uh, databricks, uh, which is an enterprise grade machine learning AI platform.…

…Then another wave with Databricks appeared, that gives you the ability to speak with the data and transform the data quicker amongst all the different infrastructure.…

…so many, many, many, many companies, tens of thousands of companies have moved from some sort of premises based data architecture and warehousing to the cloud, right? So this is the advent of the databricks, the snowflakes, the big queries.…

…I mean you see databricks, uh, and even Snowflake and I mean they're actually continuing to grow and they're not, you know, they didn't experience that SaaS apocalypse moment because people know these foundations are needed and you kind of have…

…Chris and I are ah, back today with Varun Desai, a senior sales enablement program manager at Databricks.…

…And you know, there's a broader, I mean, you look at, let's say, uh, an organization like Databricks or Snowflake and the hyperscalers like AWS and Azure, I mean they're, they're being built for use cases that go way beyond marketing.…

…But even smaller companies will have either in their CRM or in warehouses like databricks, which we've just started looking at, uh, um, integrating with, will have these propensity, these, these models to, to look about what is the likelihood of someone churning.…

…Also on different platforms like databricks, Snowflake or Bigquery, that requires a lot of human work as well.…

…Um, this company Databricks.…

…So that brings SaaS into the picture like how do you account for your spending on Snowflake and Databricks and some of those other software platforms and how do you do on premises infrastructure cost, how do you bring that into the mix?…

…Databricks and NVIDIA unveiled Genesis Workbench, a modular environment that pulls the scattered stages of computational biology under one roof.…

…So when you look at organizations like a snowflake or a databricks, and you hear terms like ontology, layers and data fabrics, and it's all centered around doing exactly what you're talking about, breaking down these silos, understanding how you bring large swaths of data, disparate…

…A story I'm super excited about is that Naveen Rao, so he is the ex AI chief at Databricks, he left and he launched his own company which is called Unconventional AI and he said that an oscillator based chip architecture can cut inference power by up to 1000x versus a uh, GPU.…

…But yeah, I'm really excited about the role I have today too, which is really leading the relationships between my company and companies like Databricks, which is where Michael is.…

…There's a Databricks which is a major, major AI power analytics firm.…

…And then we've got some interesting stuff that's kicking off with databricks.…

…Plus we're looking at deep dives into agent evaluation frameworks from MLflow and Databricks.…

…So I would say in particular, like databricks, pretty much every customer who is using databricks is already using a lakehouse.…