And you’ll see that today during the demo. And then ML flow is another open source project that helps manage machine learning life cycles end-to-end.Īll of these open source projects are also part of the Databricks platform that you can use as a cloud-based service. And that’s an open source project about bringing reliability to data lakes at scale. And since then we’ve also created two new open source projects. Apache Spark is the world’s largest open source big data project. Some of the things that are well-known about Databricks are the open source projects that we are the original creators of.
Next, we’ve got a global customer base now of over 5,000 customers, as well as hundreds of partners. Databricks provides a unified data analytics platform that’s built for data science, data engineering and business analytics, and ultimately helps those data teams accelerate their innovation. And we’ll be tackling those at the end of the webinar.įor those who aren’t familiar with Databricks, I’m just going to give a quick overview.
MATLAB TICK TOCK FREE
We’ve got time reserved for Q&A at the end, again, feel free to put in your questions along the way. You’ll get to use your MATLAB toolboxes with Databricks and Arvind in particular is going to be showing a lot of these features in several demos that we have planned for today’s session.
MATLAB TICK TOCK HOW TO
Ultimately, we’re going to cover a couple of different use cases that cover how to analyze massive datasets in the cloud, how to deploy and run your algorithms to those cloud compute clusters with sort of a very easy and seamless management interface. We’re going to introduce this solution that shows how Databricks as a platform can work with your MATLAB code, how you can configure jobs that push down those big data queries into the Delta Lake, which we’ll tell you what that is.
I’m joined by Nauman Fakhar who’s our director of IFC solutions at Databricks, as well as Arvind who’s our chief solutions architect at MathWorks. I’m part of the marketing team here at Databricks. And I’ll give you an overview of who our speakers are today. And so we’ll go ahead and get into the next slide. And we’re really excited about sharing what’s been developed and how using these two services and products together can help really deliver some compelling and powerful solutions for engineers and all about how we can make processing and analysis easy in five steps. This is a joint presentation between Databricks and MathWorks, and it’s really based on the partnership that we’ve created. Introduction Want to watch instead of read? Check out the video here.
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