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2025-02-03
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。
评分经典
评分经典
评分第四版全面基于hadoop2,相比前版进行一些重要增添和顺序调整,之前版本就不要看了。继续那么全面而透彻实用。
评分读了前3部分,该看源码去了。
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“...
评分其实也不算全部读完了,读它主要是为了技术选型,考虑升级持久层架构、提高系统可扩展性,仔细研读了前几章,对Hadoop、MapReduce、HDFS的模型、机制、使用场景有了一定了解。后面几章及其生态圈内的其他项目抱着了解的心态简单浏览了一下。整体感觉还行,至少从我看过的章节来...
评分买了第一版,时间太紧,没来得及看,后来出了个号称修订升级的第二版,毫不犹豫又买了,后来听说第二版比第一版翻译得好,心中窃喜,再后来看了第二版,我震惊了,我TM就是一傻子,放着好好的英文版不看,赶什么时髦买中文版呢。在这个神奇的国度,牛奶里放的是三聚氰胺,火腿...
评分-- china-pub 赠书活动 -- http://www.douban.com/group/topic/20965935/ 一直比较忙,整本书还没读完,只是粗略翻了个大概,其中有两三章细读了一遍。先做个大体评价吧,有时间全部细读后再评论。 从书的内容上来讲,大致上与网上该书的内容介绍一致。简单点概括:这本书对...
评分Hadoop: The Definitive Guide pdf epub mobi txt 电子书 下载 2025