Tag: Domino Product
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 perspective on the unique...
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, every enterprise we...
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 setup waste time on-boarding...
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 3.6 has a number...
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 Python notebook, or training...
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 to leverage the amount...
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 and 2TB of RAM...
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 research interests include machine...
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 the hearts and minds...
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 - a library specifically designed...
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 science work in your...
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 its models more rapidly...
“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, but it’s not quite...