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.

If you're looking for a scalable storage solution to accommodate a virtually endless amount of data, this book shows you how Apache HBase can fulfill your needs. As the open source implementation of Google's BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant. Many IT executives are asking pointed questions about HBase. This book provides meaningful answers, whether you’re evaluating this non-relational database or planning to put it into practice right away.

More than ever, learning to program concurrency is critical to creating faster, responsive applications. Speedy and affordable multicore hardware is driving the demand for high-performing applications, and you can leverage the Java platform to bring these applications to life.

Concurrency on the Java platform has evolved, from the synchronization model of JDK to software transactional memory (STM) and actor-based concurrency. This book is the first to show you all these concurrency styles so you can compare and choose what works best for your applications. You'll learn the benefits of each of these models, when and how to use them, and what their limitations are.

Through hands-on exercises, you'll learn how to avoid shared mutable state and how to write good, elegant, explicit synchronization-free programs so you can create easy and safe concurrent applications. The techniques you learn in this book will take you from dreading concurrency to mastering and enjoying it. Best of all, you can work with Java or a JVM language of your choice - Clojure, JRuby, Groovy, or Scala - to reap the growing power of multicore hardware.

If you are a Java programmer, you'd need JDK 1.5 or later and the Akka 1.0 library. In addition, if you program in Scala, Clojure, Groovy or JRuby you'd need the latest version of your preferred language. Groovy programmers will also need GPars.

Whether you want to tackle cloud computing, big data, or mobile development, this complete video compilation of OSCON Java 2011 shows you how Java and open source technologies work together to help you solve a variety of challenges. Learn about Grails, Gradle, Jenkins, Cassandra, Android development, and much more—and discover why Java and open source are a killer combination.

Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With this updated edition of Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine's APIs and scalable services.

Spring Roo goes a step beyond the Spring Framework by bringing true Rapid Application Development to Java. This concise introduction shows you how to build applications with Roo, using the framework’s shell as an intelligent—and timesaving—code-completion tool. You'll get started by building a sample customer relationship management application, complete with step-by-step instructions and code examples.

What does it take to build well-engineered Android applications? Explore Android's core building blocks and APIs in depth with this authoritative guide, and learn how to create compelling apps that work on a full range of Android devices. You'll work with proven approaches to app design and implementation—including application frameworks that you can use as a starting point for your own projects.

While it's always been possible to run Java applications on Amazon EC2, Amazon's Elastic Beanstalk makes the process easier—especially if you understand how it works beneath the surface. This concise, hands-on book not only walks you through Beanstalk for deploying and managing web applications in the cloud, you'll also learn how to use this AWS tool in other phases of development. Ideal if you're a developer familiar with Java applications or AWS.