Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for
real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all
the features of Spark available in the Scala version for Java developers. This book will show you how
you can implement various functionalities of the Apache Spark framework in Java without stepping out of
your comfort zone.
The book starts with an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to
install and configure Spark, and refreshes the concepts of Java that will be useful to you when consuming
Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java
APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will
perform near-real-time processing with Spark Streaming, machine learning analytics with Spark MLlib,
and graph processing with GraphX, all using various Java packages.
By the end of the book, you will have a solid foundation in implementing the components of the Spark
framework in Java to build fast, real-time applications.

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