part 1: End-to-End Machine Learning Using Containerization

Lately, we've been talking a lot about containerization and how Kubernetes and MapR can pair up to enhance the productivity of your data science teams and increase the time to insights. In this multi-part blog series, I will start with a high-level overview of why Kubernetes and containerization are appealing for data science environments. In a later iteration, I will provide an example of a framework that enables Kubernetized data science on your MapR cluster.
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