Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   Domino Product

Domino Honored to Be Named Visionary in Gartner Magic Quadrant

The team at Domino is proud to be named a Visionary for the second year in a row in Gartner’s Magic Quadrant more


Building a Domino Web App with Dash

Randi R. Ludwig, Data Scientist at Dell EMC and an organizer of Women in Data Science ATX, covers how to build a more

,   ,   

Answering Questions About Model Delivery on AWS at Strata

This post is a recap of the common questions Domino answered in the booth at Strata New York. We answered questions about more

,   ,   ,   ,   

Git Integration in Domino

We recently released new functionality that provides first-class integration between Domino and git. This post describes the new feature, and describes our more

Data Science on AWS: Benefits and Common Pitfalls

More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today, more

,   ,   ,   ,   ,   

Introducing Domino 2.0

Web-scale Model Deployment and Much More When we began building Domino, we believed we would make the best product by deeply understanding more

,   ,   

Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does environment more

,   ,   ,   ,   ,   ,   

Python 3.6 with Domino in Minutes

For Pythonistas like me, the holidays started a little early with today's release of Python 3.6. In case you haven't heard, Python more


Gain Shell Access To Your Domino Instances

Domino offers a managed, scalable compute environment that provides push-button convenience to data scientists, whether they're interested in exploring data in a more

High-performance Computing with Amazon’s X1 Instance – Part II

When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways more

,   ,   ,   ,   ,   ,   ,   

High-performance Computing with Amazon’s X1 Instance

We’re excited to announce support for Amazon’s X1 instances. Now in Domino, you can do data science on machines with 128 cores more

,   ,   ,   ,   ,   ,   

Reproducible Research in Computational Sciences

This guest post was written by Arnu Pretorius, a Masters student in Mathematical Statistics at the MIH Media Lab, Stellenbosch University. Arnu's more

,   ,   ,   ,   

Announcing Enhanced Apache Spark Support

Domino now offers data scientists a simple, yet incredibly powerful way to conduct quantitative work using Apache Spark. Apache Spark has captured more

,   ,   ,   ,   ,   

Orchestrating Pipelines with Luigi and Domino

Building a data pipeline may sound like a daunting task. In this post, we will examine how you can use Luigi - more

,   ,   

Better Knowledge Management for Data Science Teams

We’re excited to announce a set of big new features that make it easier for you to find and reuse past data more

,   ,   

Building and Delivering Risk Models to Global Insurance Companies

We’re excited to share our latest customer case study, about how KatRisk, a leading catastrophe risk modeling firm, used Domino to deploy more

,   ,   ,   ,   

“Unit testing” for data science

An interesting topic we often hear data science organizations talk about is “unit testing.” It’s a longstanding best practice for building software, more

,   ,   

User stories: how Domino helps a data scientist create “unicorn-level deliverables”

We asked our users to tell us stories about how they're using Domino. This is what we heard from Laura Lorenz, a more


Deep learning with DL4J and Domino

TLDR We published a public project on Domino that's pre-configured with deeplearning4j example code, and all setup to compile against the dl4j more