Sophie WatsonLet's start with an uncontroversial point: Software developers and system operators love Kubernetes as a way to deploy and manage applications in Linux containers. What you may not know is that Kubernetes also provides an unbeatable combination of features for working data scientists. The same features that streamline the software development workflow also support a data science workflow! To see why, let's first see what a data scientist's job looks like. Some people define data science broadly, including machine learning (ML), software engineering, distributed computing, data management, and statistics.
Jan-20-2019, 17:36:45 GMT