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
看了几章中文版的，各种错误，太低级，实在是看不下去了。 建议还是看原版吧。 译者们的脸皮可真厚，英文译不明白也就罢了，中文都组织的不通顺，好意思吗！！ 什么叫 “但是，......，但是”啊，“但是体”啊。
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...
用户评价
Hadoop必读
评分看了前两部分，讲的比较清楚
评分中英结合疗效好，不过还是建议中文为主，英文为辅。
评分告别小白
评分第三版
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