Running Hadoop and Spark on Docker: Challenges and Lessons Learned - Seguridad Mania.com - España y América Latina

Join this webinar to learn how to run Hadoop and Spark on Docker in an enterprise deployment. Today, most applications can be “Dockerized”. However, there are unique challenges when deploying a Big Data framework such as Spark or Hadoop on Docker containers in a large-scale production environment. In this webinar, we’ll discuss: -Practical tips on how to deploy multi-node Hadoop and Spark workloads using Docker containers -Techniques for multi-host networking, secure isolation, QoS controls, and high availability with containers -Best practices to achieve optimal I/O performance for Hadoop and Spark using Docker -How a container-based deployment can deliver greater agility, cost savings, and ROI for your Big Data initiative Don’t miss this webinar on how to "Dockerize" your Big Data applications in a reliable, secure, and high-performance environment.