具体描述
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. * Store large datasets with the Hadoop Distributed File System (HDFS), then run distributed computations with MapReduce * Use Hadoop's data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence * Discover common pitfalls and advanced features for writing real-world MapReduce programs * Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud * Use Pig, a high-level query language for large-scale data processing * Analyze datasets with Hive, Hadoop's data warehousing system * Load data from relational databases into HDFS, using Sqoop * Take advantage of HBase, the database for structured and semi-structured data * Use ZooKeeper, the toolkit for building distributed systems
作者简介
目录信息
读后感
是我遇到过的翻译最烂的一本书，在译者的“妙语连珠”里折腾了半个钟头就再也没兴趣了。略举几例如下： P.6 任然 -> 仍然 P.21 输入键（为什么不像后面那样有个“的”？），输入的值，输出的键…… P. 27 “计数器”(Counter)，译文附原文；"Context Object"(上下文对象)，原...
评分 评分首先，翻译太差，很多句子就是瞎翻，根本不通顺，很多时候你要停下来断句，慢慢去理解。 然后，这本书是很多人去翻译的，很多人连代码都不懂，曾经一段代码看到我蒙圈，去看了一下源代码，好家伙，四行有五个错误。另外，从代码瞎缩进也可以看出这是群没写过代码的人翻的，而且...
评分很多地方翻译的不行，需要对照英文看才能明白。。。不过对于快速学习，仍然是不错的选择。建议译者看看每部分内容的重要性，不重要的瞎翻翻就算了，重要的部分还是好好花点功夫，不要本末倒置了。比如第三章的数据流部分，这么经典的地方居然被翻译烂的一塌糊涂。不知道译者会...
评分详见：http://www.cnblogs.com/aprilrain/archive/2013/03/07/2947664.html
用户评价
终于读完了。。。这本是本系列的第三版了，好评如潮，无需我再费口舌了。
评分主要看设计思想。设计思想。。设计思想。。。
评分终于读完了。。。这本是本系列的第三版了，好评如潮，无需我再费口舌了。
评分感觉还行，讲的比较细
评分简单过了一遍
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