Hadoop: The Definitive Guide pdf epub mobi txt 电子书 下载 2025
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.
- Hadoop
- 大数据
- BigData
- 计算机
- 分布式
- hadoop
- 机器学习
- O'Reilly
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
具体描述
读后感
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Cobub Razor APP数据统计分析工具官网上有篇文章是讲Hadoop Yarn调度器的选择和使用的，我觉得写的挺好的，推荐http://www.cobub.com/the-selection-and-use-of-hadoop-yarn-scheduler/
评分详见：http://www.cnblogs.com/aprilrain/archive/2013/03/07/2947664.html
用户评价
读了前3部分，该看源码去了。
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。
评分真尼玛长。介绍了生态圈里的大部分工具，用来总结回顾比较适合，没有实践过的读者看前两部分mr和yarn核心，扫一遍后面所有工具是做什么用的就可以了。
评分很棒
评分前半段原理英文第四版，后半段相关项目和案例学习中文第三版就直接划水划过去了。Definitive Guide一贯作风，料多废话也多，Hadoop也是复杂又难用，Spark要是革了你的命也是理所应当。
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