num_pages: 528
description: Hadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable scalable distributed systems: programmers will find details for analyzing large datasets and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression data integrity serialization and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design
language: English
title: Hadoop: The Definitive Guide
publisher: O'Reilly Media