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Presented in the Apache Spark Masterclass meetup. This presentation provides an overview of Spark's Standalone resource manager. The standalone resource manager has its own implementation of master and workers for managing the resources in the cluster, but at the same time it also provides abstractions to leverage other resource managers like Hadoop YARN, Mesos and Kubernetes.]]>
Presented in the Apache Spark Masterclass meetup. This presentation provides an overview of Spark's Standalone resource manager. The standalone resource manager has its own implementation of master and workers for managing the resources in the cluster, but at the same time it also provides abstractions to leverage other resource managers like Hadoop YARN, Mesos and Kubernetes.]]> Sun, 08 Sep 2019 12:25:47 GMT /slideshow/spark-resource-manager/169977578 ShadAmez@slideshare.net(ShadAmez) Spark Resource Manager ShadAmez Presented in the Apache Spark Masterclass meetup. This presentation provides an overview of Spark's Standalone resource manager. The standalone resource manager has its own implementation of master and workers for managing the resources in the cluster, but at the same time it also provides abstractions to leverage other resource managers like Hadoop YARN, Mesos and Kubernetes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/spark-resource-manager-190908122547-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presented in the Apache Spark Masterclass meetup. This presentation provides an overview of Spark&#39;s Standalone resource manager. The standalone resource manager has its own implementation of master and workers for managing the resources in the cluster, but at the same time it also provides abstractions to leverage other resource managers like Hadoop YARN, Mesos and Kubernetes.
Spark Resource Manager from Shad Amez
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