ONJava

Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you’ll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It’s ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. This third edition covers recent changes to Hadoop, including new material on the new MapReduce API, as well as version 2 of the MapReduce runtime (YARN) and its more flexible execution model. You’ll also find illuminating case studies that demonstrate how Hadoop is used to solve specific problems.

Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you’ll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It’s ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. This third edition covers recent changes to Hadoop, including new material on the new MapReduce API, as well as version 2 of the MapReduce runtime (YARN) and its more flexible execution model. You’ll also find illuminating case studies that demonstrate how Hadoop is used to solve specific problems.

Java 7 has a number of features that will please developers. Madhusudhan Konda provides an overview of these, including strings in switch statements, multi-catch exception handling, try-with-resource statements, the new File System API, extensions of the JVM, support for dynamically-typed languages, and the fork and join framework for task parallelism.