This blog post takes a look at how the popular notebook interface has gotten traction as the go-to front-end for data professionals and data companies alike. Notebooks can make data teams more productive by obscuring cumbersome configurations. How will the…

A quick explainer on why we built we job management directly into Magpie, our data engineering platform. Plus, a step-by-step tutorial on how to use it. SETTING THE STAGE When first setting up a data lake, it is common for…

EXAMINING NYC TRANSPORTATION DATA THROUGH MAGPIE’S ONE-CLICK RAPID DATA PROFILING In our first data-centric blog post, we provide a step-by-step introduction to the immediate value generated by Magpie’s ability to show users what is in a dataset before analysis begins….

In our first code-centric blog post, we provide a step-by-step introduction to Spark’s machine learning library. This post is intended for a more technical audience that has a solid grasp of Python, understands the basics of machine learning, and has…

The previous post in this series established a non-technical basis for understanding data lakes and why they might be important. In this post, the focus will be on providing a more technical take on data lakes. This will not be…