The DataOps Transformation: 7 Steps To Prevent The Great War of Data Scientists
The list of failed big data analytics projects is long. They leave end-users, data analysts and data scientists frustrated with long lead times for changes. To paraphrase an old saying: βIt takes a village to get insights from data.β Data analysts, data scientists, and data engineers are already working in teams delivering insight and analysis, but how do you get the team to support experimentation and insight delivery without ending up in an IT versus data engineer versus data scientist war?
Join Christopher Bergh as he presents the seven steps to get these groups of people working