Using DC/OS to Accelerate Data Science in the Enterprise - KDnuggets

As a full-stack machine learning consultant that focuses on building and delivering new products to market, I've often found myself at the intersection of data science, data engineering and dev ops. So it has been with great interest that I've followed the rise of data science Platforms as a Service (PaaS). I recently set out to evaluate different Platforms as a Service (PaaS) and their potential to automate data science operations. I'm trying to find the best way for the book's readers to work through the examples. In my last book, Agile Data Science 2.0 (4.5 stars), I built my own platform for readers to run the code using bash scripts, the AWS CLI, jq, Vagrant and EC2.