Subject archive for "domino-product," page 6

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 assist pipeline construction - to build a data pipeline that works with Domino.

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 organization. We’re calling these features “Discoverability,” and they encompass powerful ways to search, tag, and get recommendations about relevant analytical work.

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 clear what it really means for quantitative research work — let alone how to implement such a practice. This post describes our view on this topic, and how we’ve designed Domino to facilitate what we see as relevant best practices.

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.