write MapReduce programs. The intended readers are
programmers, architects, and project managers who have to
process large amounts of data offline. Hadoop in Action
will lead the reader from obtaining a copy of Hadoop to
setting it up in a cluster and writing data analytic
programs. The book begins by making the basic idea of
Hadoop and MapReduce easier to grasp by applying the
default Hadoop installation to a few easy-to-follow
tasks, such as analyzing changes in word frequency across
a body of documents. The book continues through the basic
concepts of MapReduce applications developed using
Hadoop, including a close look at framework components,
use of Hadoop for a variety of data analysis tasks, and
numerous examples of Hadoop in action.
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