Big Data Processing on Bare Metal Cloud with Apache Spark
With the world generating massive amounts of data each day, the requirements for high-performance data processing is growing. Apache Spark is one of the leading software solutions designed for optimizing big data workloads and its use is on the rise.
This white paper provides an overview of its benefits and the current data generation trends, explaining how to automatically deploy it on phoenixNAP's Bare Metal Cloud Platform. Written by Sergio Muriana, DevOps at phoenixNAP, and Seow Lim, Phd, VP of Architecture and Platform at phoenixNAP, this technical guide includes practical steps and best practices for optimizing big data workloads using modern software and infrastructure technologies.
- Big data processing challenges
- CPU, network, and storage requirements for big data processing
- Benefits of Apache Spark for data-intensive workloads
- Step-by-step instructions for deploying Apache Spark on Bare Metal Cloud