Data Projects: Managing Data Assets at Netflix Scale

By Amer Hesson , Marcelo Mayworm , James Mulcahy , and Brittany Truong The Problem: Managing Assets at Netflix Scale Netflix’s Data Platform is vast. We have millions of tables in our data warehouse and tens of thousands of scheduled workloads running across our orchestration systems. Behind each of these assets sits an engineer, a team, or an initiative — and behind each of those sits a set of decisions about who can access what , and how those workloads execute day after day.