Evolving LinkedIn's analytics tech stack
As a result, the process was less tedious, easier to manage, and only cost a fraction of what we estimated for the manual route. The larger lesson we would point to here is to seize opportunities to save time, effort, and cost through automation, where feasible.
As you read the title, you probably thought: "Great, and another job hits the stack: what on earth is an Analytics Engineer now?" You almost kept scrolling, but if you made it up to here, it's probably because the weird juxtaposition of "analytics" next to "engineer" caught your attention.
Shopify's Unique Data Science Hierarchy Of Needs
By Phillip RossiYou've probably seen the "Data Science Hierarchy of Needs" (pictured below) before. Inspired by Maslow, it shows the tooling you would use at different levels in data science-from logging and user-generated content at the bottom, to AI and deep learning at the very top.While hierarchies like this one can serve as helpful guides, at Shopify, we don't think it always captures the whole picture.