Skip to content
    Latest

    Simplify data access and publish model results in Snowflake using Domino Data Lab

    Introduction Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations...

    Faster data exploration in Jupyter through Lux

    Notebooks have become one of the key primary tools for many data scientists. They offer a clear way to collaborate with others throughout the process...

    Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

    Domino and Okera - Provide data scientists access to trusted datasets within reproducible and instantly provisioned computational environments. In...

    Announcement: Domino is fully Kubernetes native

    Last week we announced that Domino is now fully Kubernetes native. This is great news for data science teams and IT organizations building modern DS...

    Data Ethics: Contesting Truth and Rearranging Power

    This Domino Data Science Field Note covers Chris Wiggins's recent data ethics seminar at Berkeley. The article focuses on 1) proposed frameworks for...

    Data Science at The New York Times

    Chris Wiggins, Chief Data Scientist at The New York Times, presented "Data Science at the New York Times" at Rev. Wiggins advocated that data...

    Announcing Domino 3.4: Furthering Collaboration with Activity Feed

    Our last release, Domino 3.3 saw the addition of two major capabilities: Datasets and Experiment Manager. “Datasets”, a high-performance, revisioned...

    Announcing Domino 3.3: Datasets and Experiment Manager

    Our mission at Domino is to enable organizations to put models at the heart of their business. Models are so different from software — e.g., they...

    Reflections on the Data Science Platform Market

    Reflections Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we...