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2025-05-28
Hadoop: The Definitive Guide pdf epub mobi txt 电子书 下载 2025
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.
看前两部分就行,相关的pig hive spark如果不实践也不需要深入。本科上课读过那google三篇论文,扫这本书还是很快的。
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。
评分知识体系和原理讲解清晰,结合实践项目,会更容易理解一些。
评分知识体系和原理讲解清晰,结合实践项目,会更容易理解一些。
评分还好我用的时候不需要写 Java(
专门登录来评论的,翻译也太烂了吧,真的真的建议强烈英语阅读能力好的人去读原版书,不要花冤枉钱在这上面,除了文字错误外,里边的图居然也有错,就比如260页的图最后两个年份应该是1901结果这里竟然是1900,我是真滴服了,一本神书被翻译成这样,作者得气死。zsbd zsbd zsbd...
评分很好的Hadoop教程,比Apache和Yahoo !网页版guide详细很多,很多想不明白的Hadoop实现细节都可以在这本书里找到。
评分参加豆瓣China-pub抽奖,比较幸运的得到这本Hadoop权威指南中文第二版,拿来与第一版相比,发现新加入了Hive和Sqoop章节,译文质量也提高了不少,并且保留了英文索引。 这本书对Hadoop的介绍还算全面,有实践冲动的朋友基本可以拿着书、配合Google百度马上实现梦想。个人感觉“...
评分书中没有透露太多实现架构方面的细节,更多的是从使用者的角度上介绍了Hadoop的各种知识,包括MapReduce, HDFS, Hive, Pig, HBase, ZooKeeper。几乎涉及了Hadoop的所有关于使用方面的知识,包括安装和使用。 你甚至可以直接在自己的电脑上装上一个Hadoop,对着书中的例子实际演...
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 2025