Hadoop: The Definitive Guide 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Tom White 作者

O'Reilly Media

译者

2015-4-11 出版日期

756 页数

USD 49.99 价格

Paperback

丛书系列

9781491901632 图书编码

Hadoop: The Definitive Guide 在线电子书图书标签: Hadoop 大数据 BigData 计算机分布式 hadoop 机器学习 O'Reilly

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发表于2025-03-30

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Hadoop: The Definitive Guide 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Hadoop: The Definitive Guide 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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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。

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很全，主要是前两部分，尤其mapreduce部分，后面的那些cluster和各种相关项目的其实可以只做浏览，讲得也不是很细，用的时候看apache的说明文档就好

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当年入门时看了第一版，工作中真正要用到时看了第二版，在这块领域做了一年后回过来看了第三版。每遍各有收获。

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2016 NO.4 深入浅出，原理讲的非常透彻。核心是 Hadoop Fundamentals 和 MapReduce 两章，但是后面的 Related Projects 也写的言简意赅，能够突出重点。比如 Flume 这一章会提到一些在 Flume 官网教程上也没提到的要点。

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很棒

Hadoop: The Definitive Guide 在线电子书著者简介

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: The Definitive Guide 在线电子书图书目录

Hadoop: The Definitive Guide 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Hadoop: The Definitive Guide 在线电子书图书描述

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

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