Why you Need DataOps to Organize Your Data Science Projects
The DevOps movement has been adopted by many companies in the past ten years as a way to reorganize their IT processes and favor innovation. At its core it tries to reconcile development and operations departments to encourage them to develop IT projects together. Today, we need to make that same transition in data, by introducing the DataOps. To understand DataOps, we must first understand DevOps Traditionally, companies distinguished two different roles in IT: developers, who work on developing new projects (the “Dev part”) and then pass them over to engineering operations (AKA system administrators) who are in charge of setting them up in the production environment and maintaining the servers (that’s the “Ops part”, for operations). Obviously, with the pressure on companies to constantly innovate, it became much tougher…
Link to Full Article: Why you Need DataOps to Organize Your Data Science Projects
Why you Need DataOps to Organize Your Data Science Projects
