Author archive for Domino Data Lab, page 5

Data scientists often greet the topic of knowledge management with a sense of dread. Some see it as a time-sucking distraction from their “real” jobs; others don’t fully grasp what it means. Even many who see the concept’s value find the process painful.

In this “This Is My Architecture” video, Ozzy Johnson, deputy chief technology officer at Domino Data Lab shows how Domino provides containerized data science solutions for customers of any size and regulation need. You will see how Domino leverages infrastructure as code through Terraform and Jinja to build out a data science environment that works in highly customized environment through containerizing with Docker and Kubernetes. Ozzy will also cover how Domino Data Lab works in both AWS and on premise environments, while leveraging the benefits of AWS services like S3, EC2 and ELB to gain the benefits of high availability and security and shorten the development time in AWS.

Domino just finished benchmarking Intel’s Python Distribution, and it is fast, very fast. Intel’s Python distribution is available for use in Domino.

This post is a recap of the common questions Domino answered in the booth at Strata New York. We answered questions about access to EC2 machines, managing environments, and model delivery.

Last week at our Data Science Popup, we announced Domino for Good, our program to help students and nonprofits use Domino for their data science work. For nonprofits, we’re providing the software either at no charge, or substantially discounted. For students, we’re providing the software and compute resources for free.

If you’re a data scientist interested in working in politics, don’t bother applying to the Trump campaign — but Hillary has a job for you.