Keeping Big Data Containers Lightweight: Persisting Streams, Tables and Files

Video created by aalvarez on Mar 10, 2017

    Ted Dunning, Chief Application Architect at MapR, explains how to keep big data Docker containers light and agile by moving state into the MapR Converged Data Platform for large scale data persistence that goes beyond files: you can persist streams and tables, too. That way even Kafka applications can run in stateless containers without having to proliferate Kafka clusters all over.

    To learn more about the Docker-based MapR Persistent Application Client Container, see:

    Persistence in the Age of Microservices: Introducing MapR Converged Data Platform for Docker

    Persistent Storage for Docker Containers