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    Evaluating Ray: Distributed Python for Massive Scalability

    Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in...

    Avoiding a Data Science Hype Bubble

    In this post, Josh Poduska, Chief Data Scientist at Domino Data Lab, advocates for a common taxonomy of terms within the data science industry. The...

    What Your CIO Needs to Know about Data Science

    What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear from you that model deployment is a challenge (e.g.,...

    The Cost of Doing Data Science on Laptops

    At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists will try...

    Principles of Collaboration in Data Science

    Data science is no longer a specialization of a single person or small group. It is now a key source of competitive advantage, and as a result, the...

    Deep Learning on GPUs without the Environment Setup

    We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the libraries to support...

    Our Customers Said it Best, as Domino Named a Visionary By Gartner

    The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to get recognized by third...

    Data Science Platform: What is it? Why is it Important?

    As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies...

    Reflections on "buy vs build"

    “Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections...

    Building an open product for power users

    This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than...