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2024年3月20日发(作者：sall什么意思中文翻译)

hadoop英文参考文献

Hadoop是一个开源的分布式计算平台，它基于Google的

MapReduce算法和Google文件系统(GFS)的思想，能够处理大规模的

数据集。对于研究Hadoop的人来说，阅读Hadoop的英文参考文献是

非常必要的。下面是一些Hadoop的英文参考文献：

1. Apache Hadoop: A Framework for Running Applications on

Large Clusters Built of Commodity Hardware. This paper

describes the architecture of Hadoop and its components,

including the Hadoop Distributed File System (HDFS) and

MapReduce.

2. Hadoop MapReduce: Simplified Data Processing on Large

Clusters. This paper provides an overview of the MapReduce

programming model and how it can be used to process large data

sets on clusters of commodity hardware.

3. Hadoop Distributed File System. This paper provides a

detailed description of the Hadoop Distributed File System

(HDFS), including its architecture, design goals, and

implementation.

4. Hadoop Security Design. This paper describes the

security features of Hadoop, including authentication,

authorization, and auditing.

5. Hadoop Real World Solutions Cookbook. This book provides

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practical examples of how Hadoop can be used to solve real-world

problems, including data processing, data warehousing, and

machine learning.

6. Hadoop in Practice. This book provides practical

guidance on how to use Hadoop to solve data analysis problems,

including data cleaning, data modeling, and data

visualization.

7. Hadoop: The Definitive Guide. This book provides a

comprehensive overview of Hadoop and its components, including

HDFS, MapReduce, and YARN. It also includes practical examples

and best practices for using Hadoop.

8. Pro Hadoop. This book provides a deep dive into Hadoop

and its ecosystem, including HDFS, MapReduce, YARN, and a

variety of tools and frameworks for working with Hadoop.

9. Hadoop Operations. This book provides guidance on how

to deploy, manage, and monitor Hadoop clusters in production

environments, including best practices for performance tuning,

troubleshooting, and security.

以上是一些Hadoop的英文参考文献，它们涵盖了Hadoop的各个

方面，对于学习和使用Hadoop都是非常有帮助的。

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本文标签： 学习 参考文献 开源

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