大数据专业英语教程

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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

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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