图文详情

Hadoop权威指南:大数据的存储与分析

正版全新

作者: (英) 汤姆·怀特(Tom White) 著
出版社: 清华大学出版社
ISBN: 9787302698777
出版时间: 2022-12

装帧: 其他
开本: 16开
纸张: 胶版纸

作者: (英) 汤姆·怀特(Tom White) 著
出版社: 清华大学出版社
ISBN: 9787302698777

出版时间: 2022-12
装帧: 其他

开本: 16开
纸张: 胶版纸

售价 181.38 7.0折

定价￥258.00

品相全新

优惠

发货

承诺48小时内发货

运费

本店暂时无法向该地区发货

延迟发货说明

时间：

说明：

上书时间2026-11-09

数量: 库存11件

立即购买加入购物车收藏

卖家超过10天未登录

五年老店

教育社科专营店

店铺等级

资质认证

90天平均

成功完成

82.09% (214笔)

好评率

100%

发货时间

23.44小时

店主

悦读识人

联系

在线交谈离线留言

地址

浙江省杭州市滨江区

进店逛逛收藏店铺

商品详情
店铺评价

立即购买加入购物车收藏

手机购买

微信扫码访问

商品分类：

计算机与互联网

货号：

5092553

商品描述：

【书    名】 Hadoop权威指南:大数据的存储与分析
【书    号】 9787302698777
【出版社】清华大学出版社
【作    者】 (英) 汤姆·怀特(Tom White) 著
【出版日期】 2026-08-01
【开    本】 16开
【定    价】 258.00元

【编辑推荐】
本书是一本权威、全面的Hadoop参考书和工具书，阐述了Hadoop生态圈的*新发展和应用，程序员可以从中探索海量数据集的存储和分析，管理员可以从中了解Hadoop集群的安装和运维。

【内容简介】
本书结合理论和实践，由浅入深，全方位介绍了Hadoop这一高性能的海量数据处理和分析平台。全书5部分24章。

【目录】
Contents

目录

Chapter 1  Meet Hadoop／初遇 Hadoop ······································································································1

Data!／数据大爆炸！ .......................................................................................................................................... 1

Data Storage and Analysis／数据存储和分析..................................................................................................... 4

Querying All Your Data／在全部数据中查找 .................................................................................................... 6

Beyond Batch／超出批处理 ................................................................................................................................7

Comparison with Other Systems／与其他存储系统比较 ................................................................................... 9

Relational Database Management Systems／关系数据库管理系统 ......................................................... 10

Grid Computing／网格计算 ....................................................................................................................... 13

Volunteer Computing／志愿者计算 ........................................................................................................... 15

A Brief History of Apache Hadoop／Hadoop简史 ........................................................................................... 16

What’s in This Book?／本书章节简介 .............................................................................................................. 21

Chapter 2  MapReduce／MapReduce的原理····························································································25

A Weather Dataset／一份天气数据集 ............................................................................................................... 26

Data Format／数据格式 ............................................................................................................................. 26

Analyzing the Data with UNIX Tools／用 UNIX工具分析数据 ..................................................................... 28

Analyzing the Data with Hadoop／使用 Hadoop分析数据 .............................................................................. 31

Map and Reduce／Map和 Reduce的原理 ................................................................................................ 32

Java MapReduce／用 Java实现 MapReduce............................................................................................. 34

Scaling Out／扩展 .............................................................................................................................................. 44

Data Flow／数据流 .................................................................................................................................... 44

Combiner Functions／Combiner函数........................................................................................................ 49

Running a Distributed MapReduce Job／运行分布式 MapReduce作业.................................................. 52

Hadoop Streaming／Hadoop流 ......................................................................................................................... 52

Ruby ............................................................................................................................................................ 53

Python.......................................................................................................................................................... 57

Chapter 3 The Hadoop Distributed Filesystem／Hadoop分布式文件系统 ·············································59

The Design of HDFS／HDFS的设计................................................................................................................ 60

HDFS Concepts／HDFS的各种概念................................................................................................................ 62

Blocks／数据块 .......................................................................................................................................... 62

Namenodes and Datanodes／Namenodes和 Datanodes ............................................................................ 65

Block Caching／数据块高速缓存 ............................................................................................................. 67

HDFS Federation／HDFS联邦.................................................................................................................. 67

HDFS High Availability／HDFS高可用性 ............................................................................................... 68

The Command-Line Interface／命令行接口 ...................................................................................................... 72

Basic Filesystem Operations／基本文件系统操作.................................................................................... 73

Hadoop Filesystems／Hadoop文件系统 ........................................................................................................... 76

Interfaces／与 Hadoop文件系统交互的界面 ........................................................................................... 77

The Java Interface／Java接口............................................................................................................................ 81

Reading Data from a Hadoop URL／从 Hadoop链接读取数据 ............................................................... 81

Reading Data Using the FileSystem API／用 FileSystem API读取数据 .................................................. 83

Writing Data／写入数据 ............................................................................................................................ 88

Directories／创建文件夹 ........................................................................................................................... 90

Querying the Filesystem／查询文件系统 .................................................................................................. 91

Deleting Data／删除数据........................................................................................................................... 98

Data Flow／数据流 ............................................................................................................................................ 98

Anatomy of a File Read／数据读取过程剖析........................................................................................... 98

Anatomy of a File Write／文件写入途径剖析 ........................................................................................ 102

Coherency Model／文件读写一致模型 ................................................................................................... 105

Parallel Copying with distcp／使用 distcp命令并行运行文件复制 .............................................................. 108

Keeping an HDFS Cluster Balanced／维持文件块在 HDFS集群中平衡分布 ..................................... 110

Chapter 4  YARN／资源管理器 YARN····································································································· 113

Anatomy of a YARN Application Run／YARN运行机制剖析 ..................................................................... 114

Resource Requests／资源请求 ................................................................................................................. 116

Application Lifespan／YARN应用程序的生命期.................................................................................. 117

Building YARN Applications／构建 YARN应用.................................................................................... 118

YARN Compared to MapReduce 1／比较 YARN与 MapReduce 1 .............................................................. 119

Scheduling in YARN／YARN的调度方式..................................................................................................... 123

Scheduler Options／可选调度方式 .......................................................................................................... 124

Capacity Scheduler Configuration／基于容量调度方案的配置方法 ..................................................... 126

Fair Scheduler Configuration／公平调度的配置方法 ............................................................................. 129

Delay Scheduling／延迟调度 ................................................................................................................... 135

Dominant Resource Fairness／主导资源公平性 ..................................................................................... 136

Further Reading／延伸阅读 ............................................................................................................................. 138

Chapter 5  Hadoop I/O／Hadoop的 I/O操作··························································
配送说明

...
相似商品
为你推荐