September 2016
Beginner to intermediate
326 pages
6h 47m
English
In this chapter, we will understand the basics of Hadoop and Spark, how Spark is different from MapReduce, and get started with the installation of clusters and setting up the tools needed for analytics.
This chapter is divided into the following subtopics:
Apache Hadoop is a software framework that enables distributed processing on large clusters with thousands of nodes and petabytes of data. Apache Hadoop clusters can be built using commodity hardware where failure rates are generally high. Hadoop is designed to handle these failures gracefully ...
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