Hadoop-Authoritative-guide-Chinese

  本书从Hadoop的缘起开始，由浅入深，结合理论和实践，全方位地介绍Hadoop这一高性能处理海量数据集的理想工具。全书共16章，3个附录，涉及的主题包括：Hadoop简介 MapReduce简介 Hadoop分布式文件系统 Hadoop的I/O、MapReduce应用程序开发；MapReduce的工作机 MapReduce的类型和格式 MapReduce的特性 如何构建Hadoop集群，如何管理Hadoop Pig简介：HBase简介；Hive简介：ZooKeeper简介；开源工具Sqoop，最后还提供了丰富的案例分析。(This book starts the origin of Hadoop the shallower to the deeper, combination of theory and practice, all-round introduce the Hadoop that a ideal tool can process massive data sets . The book has 16 chapters and 3 appendices, topics covered include: Hadoop MapReduce Hadoop distributed file system the development of I/O, MapReduce Hadoop application MapReduce working machine the type and format of MapReduce MapReduce characteristics how to construct a Hadoop cluster, how to manage the Hadoop Pig Description: HBase introduction Hive: ZooKeeper Sqoop open source tools, and finally provide a rich analysis of the case.)

Hadoop Authoritative guide Chinese.pdf,24536496,2016-07-17