Running ML Infrastructure on HBaseMay 29, 2015 6:52 pm
On May 7th, I presented at HBaseCon, demonstrating how Sift Science leverages HBase and its ecosystem in powering our machine learning infrastructure. In case you missed the talk, I’ll lay out the main points here.There are three main types of events that we receive from customers on our platform: page views (also known as page activities), purchases (also known as transactions), and “labels”.
d-Threeact: How the Sift Science Console Team Made d3 and React the Best of FriendsMay 19, 2015 10:25 pm
A little less than a year ago, the Sift Science Console Team decided to migrate its Backbone and Marionette Views to ReactJS see also our post on specific React tips we learned along the way. Among the many facets of a piece-by-piece migration like this was figuring out how best to manage (err...'reactify') our d3 charts. There were already a couple good reads/ listens on this topic—with very different views on the responsibilities of each library—which we found quite helpful in establishing our own approach.
Best practices for building large React applicationsMay 7, 2015 5:41 pm
Sift Science has been using React in production for almost a year now. In that time, we grew our application from a Backbone + React frankenstein hybrid app into one fairly large hierarchy of React components. In this post, we’ll describe some techniques and best practices that have helped us scale our UI code base with minimal friction. We’ll also walk through some common component design patterns.Hopefully this post will save you time and sanity and provide you with some new tools for maintaining a React code base that builds on itself (instead of breaking down) as the complexity of the UI grows.