Part 1. First steps
We begin this book with an introduction to Apache Spark and its rich API. Understanding the information in part 1 1 is important for writing high-quality Spark programs and is an excellent foundation for the rest of the book.
Chapter 1 roughly describes Spark’s main features and compares them with Hadoop’s MapReduce and other tools from the Hadoop ecosystem. It also includes a description of the spark-in-action virtual machine we’ve prepared for you, which you can use to run the examples in the book.
Chapter 2 further explores the VM, teaches you how to use Spark’s command-line interface (spark-shell), and uses several examples to explain resilient distributed datasets (RDDs)—the central abstraction in Spark.
In chapter ...
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