图书标签: Hadoop 大数据 BigData 计算机 分布式 hadoop 机器学习 O'Reilly
发表于2024-11-22
Hadoop: The Definitive Guide pdf epub mobi txt 电子书 下载 2024
Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.
Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.
Learn fundamental components such as MapReduce, HDFS, and YARN
Explore MapReduce in depth, including steps for developing applications with it
Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN
Learn two data formats: Avro for data serialization and Parquet for nested data
Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer)
Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop
Learn the HBase distributed database and the ZooKeeper distributed configuration service
Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.
读完了,第一次接触大数据相关的内容。这本书的内容相当全面,第一部分讲原理,中间详细介绍基于hadoop的project,最后有具体的应用举例。很多地方理解的还不是很透彻,需要进一步的阅读。
评分T^T 买了很厚的影印版
评分读完了,第一次接触大数据相关的内容。这本书的内容相当全面,第一部分讲原理,中间详细介绍基于hadoop的project,最后有具体的应用举例。很多地方理解的还不是很透彻,需要进一步的阅读。
评分阅读了第1,2部分,算是对Hadoop有了基本的认知,接下来需要结合实际项目夯实。其他相关的技术如Hive,HBase,Spark也需要去学习。
评分经典
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...
评分你的履历添了一笔<hadoop权威指南>译者,但是你不配 这是我见过的最不用心的翻译, 字里行间行文不通顺, 请别勉强自己,map reduce shuffle机制都没翻译的好 虽然原作者写作功底也实在是一般 第 1 2 5 6 7 这几章 翻译的实在是太烂了 请不要呐Google翻译糊弄人阿 误人子弟 ...
评分中文版412页: 所以理论上,任何东西都可以表示成二进制形式,然后转化成为长整型的字符串或直接对数据结构进行序列化,来作为键值。 原文460页: ..., so theoretically anything can serve as row key, from strings to binary representations of long or even serialized ...
评分看了几章中文版的,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。
评分详见:http://www.cnblogs.com/aprilrain/archive/2013/03/07/2947664.html
Hadoop: The Definitive Guide pdf epub mobi txt 电子书 下载 2024