Chapter 1. Getting Started with Apache Spark
In this chapter, we will set up Spark and configure it. This chapter is divided into the following recipes:
- Installing Spark from binaries
- Building the Spark source code with Maven
- Launching Spark on Amazon EC2
- Deploying Spark on a cluster in standalone mode
- Deploying Spark on a cluster with Mesos
- Deploying Spark on a cluster with YARN
- Using Tachyon as an off-heap storage layer
Introduction
Apache Spark is a general-purpose cluster computing system to process big data workloads. What sets Spark apart from its predecessors, such as MapReduce, is its speed, ease-of-use, and sophisticated analytics.
Apache Spark was originally developed at AMPLab, UC Berkeley, in 2009. It was made open source in 2010 under the BSD ...
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