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大数据专业英语教程

大数据专业英语教程

定 价:¥65.00

作 者: 张强华,司爱侠
出版社: 机械工业出版社
丛编项:
标 签: 暂缺

购买这本书可以去


ISBN: 9787111707981 出版时间: 2022-06-01 包装:
开本: 16开 页数: 233 字数:  

内容简介

  本书内容包括大数据基础、大数据的应用、大数据的类型、数据建模、数据采集、云存储、数据库、数据仓库、数据提取、数据转换和加载、大数据分析工具及其主要功能、数据挖掘、数据挖掘算法、大数据编程语言、Spark、数据可视化及其工具、大数据与云计算、大数据安全的挑战与解决方案、大数据与隐私等。 \n全书共10个单元,每一单元包括课文、单词、词组、缩略语、习题、参考译文、阅读材料。附录A“大数据专业英语词汇特点及翻译技巧”可以帮助读者记忆和翻译专业词汇;附录B、附录C、附录D既可用于复习和背诵,也可作为小词典长期查阅。本书课文配有音频材料,扫描二维码即可收听。 \n本书既可作为高等院校本、专科大数据及相关专业的专业英语教材,也可作为相关从业人员自学的参考书,还可作为培训班的培训用书。

作者简介

暂缺《大数据专业英语教程》作者简介

图书目录

前言 \n
Unit 11 \n
Text A:Big Data Basics1 \n
New Words4 \n
Phrases6 \n
Abbreviations6 \n
Reference Translation6 \n
Text B:Applications of Big Data9 \n
New Words11 \n
Phrases12 \n
Reference Translation12 \n
Exercises14 \n
Reading Material:The Future of Big Data16 \n
Unit 219 \n
Text A:Structured Data, Unstructured Data and Semi-structured Data19 \n
New Words23 \n
Phrases25 \n
Abbreviations26 \n
Reference Translation26 \n
Text B:Data Modeling30 \n
New Words32 \n
Phrases33 \n
Abbreviations34 \n
Reference Translation34 \n
Exercises35 \n
Reading Material:Data Structure38 \n
Unit 341 \n
Text A:Data Collection41 \n
New Words43 \n
Phrases44 \n
Abbreviations45 \n
Reference Translation45 \n
Text B:Cloud Storage47 \n
New Words50 \n
Phrases51 \n
Abbreviations51 \n
Reference Translation52 \n
Exercises54 \n
Reading Material:Data Center57 \n
Unit 461 \n
Text A:Database61 \n
New Words64 \n
Phrases65 \n
Abbreviations66 \n
Reference Translation66 \n
Text B:Data Warehouse69 \n
New Words71 \n
Phrases72 \n
Abbreviations72 \n
Reference Translation72 \n
Exercises74 \n
Reading Material:What Is a Data Mart77 \n
Unit 581 \n
Text A:ETL81 \n
New Words84 \n
Phrases86 \n
Abbreviations86 \n
Reference Translation87 \n
Text B:Big Data Analytics Tools and Their Key Features90 \n
New Words93 \n
Phrases94 \n
Abbreviations94 \n
Reference Translation94 \n
Exercises97 \n
Reading Material:Big Data as a Service (BDaaS)100 \n
Unit 6103 \n
Text A:Data Mining103 \n
New Words106 \n
Phrases108 \n
Abbreviations108 \n
Reference Translation108 \n
Text B:Top 10 Most Common Data Mining Algorithms110 \n
New Words112 \n
Phrases113 \n
Abbreviations114 \n
Reference Translation114 \n
Exercises115 \n
Reading Material:Applications of Data Mining118 \n
Unit 7122 \n
Text A:Five Programming Languages for Big Data122 \n
New Words125 \n
Phrases125 \n
Abbreviations126 \n
Reference Translation126 \n
Text B:Apache Spark128 \n
New Words131 \n
Phrases132 \n
Abbreviations133 \n
Reference Translation133 \n
Exercises135 \n
Reading Material:Hadoop138 \n
Unit 8141 \n
Text A:Data Visualization141 \n
New Words144 \n
Phrases145 \n
Reference Translation145 \n
Text B:10 Best Data Visualization Tools147 \n
New Words150 \n
Phrases150 \n
Abbreviations151 \n
Reference Translation151 \n
Exercises153 \n
Reading Material:25 Tips for Data Visualization Design156 \n
Unit 9159 \n
Text A:Big Data Cloud159 \n
New Words162 \n
Phrases163 \n
Abbreviations164 \n
Reference Translation164 \n
Text B:What Is Cloud167 \n
New Words170 \n
Phrases171 \n
Abbreviations171 \n
Reference Translation171 \n
Exercises174 \n
Reading Material:Do You Want to Be a Big Data Analyst177 \n
Unit 10180 \n
Text A:Big Data Security180 \n
New Words183 \n
Phrases185 \n
Abbreviations185 \n
Reference Translation186 \n
Text B:Big Data Privacy188 \n
New Words190 \n
Phrases191 \n
Abbreviations192 \n
Reference Translation192 \n
Exercises194 \n
Reading Material:Measures to Protect Big Data Security and Privacy197 \n
附录199 \n
附录A 大数据专业英语词汇特点及翻译技巧199 \n
附录B 单词表201 \n
附录C 词组表222 \n
附录D 缩写表233

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