Data Science Blog | Domino Product (2)

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Accelerating model velocity through Snowflake Java UDF integration

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to...

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...

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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...

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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...

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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...

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Gain Shell Access To Your Domino Instances

Note: Please be advised that direct access to containers via SSH has been deprecated for Domino versions above 4.x. Indirect SSH access via Workspace...

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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 of power that is...

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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 — with...

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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...

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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...

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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 to...

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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 team and...

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“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,...

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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 Data Scientist at StockUp. I...

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Deep learning with DL4J and Domino

The screenshot above shows several different "Runs" of the dl4j code on Domino, each one executing a different dl4j example. The selected run is the...

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