Virtualizing Hadoop and Spark: Architecture, performance, and best practices (sponsored by VMware)

Justin Murray outlines the benefits of virtualizing Hadoop and Spark, covering the main architectural approaches at a technical level and demonstrating how the core Hadoop architecture maps into virtual machines and how those relate to physical servers. You'll gain a set of design approaches and best practices to make your application infrastructure fit well with the virtualization layer.

Today, Hadoop and Spark are deployed widely, in both private and public clouds. A fundamental technology that underpins both types of cloud is virtualization. Everything runs in virtual machines in these environments. Justin Murray outlines the benefits of virtualizing Hadoop and Spark, covering the main architectural approaches at a technical level and demonstrating how the core Hadoop architecture maps into virtual machines and how those relate to physical servers. You’ll gain a set of design approaches and best practices to make your application infrastructure fit well with the virtualization layer. This session is sponsored by VMware.