Advanced Hadoop Programming - Pushing the Limits: Building Big Data Applications with the Apache Hadoop Platform

Hadoop Programming: Pushing the Limits is for software architects, engineers, and data scientists who wish to advance their knowledge of the Apache Hadoop software library to the current frontier of thinking on MapReduce and Hadoop programming. Big data evangelists Tim Seears and Pinal Gandhi show experienced programmers how to maximize their usage of the Hadoop Software Library v.1 - including coverage of YARN, and MapReduce V2.0. Hadoop Programming: Pushing the Limits delves into more advanced topics not generally found in other more intermediate Hadoop development books, including: • YARN: Next-generation MapReduce and implementing a new programming model as a YARN Application • MPI: Message Passing Interface programming model • BSP: Bulk Synchronous Parallel programming model and other parallel programming models • Graph Processing • Spark: Fast in-memory cluster computing • Apache Mesos cluster manager with Hadoop • Analytics in Hadoop with R and native code: Fortran, C, C++ • Hadoop with GPU, CUDA and OpenCL: accelerating analytics • Integrating Hadoop with NoSQL databases