大數(shù)據(jù)專業(yè)英語(yǔ)教程

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作　者：	張強(qiáng)華，司愛(ài)俠
出版社：	機(jī)械工業(yè)出版社
叢編項(xiàng)：
標(biāo)　簽：	暫缺

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ISBN：	9787111707981	出版時(shí)間：	2022-06-01	包裝：
開(kāi)本：	16開(kāi)	頁(yè)數(shù)：	233	字?jǐn)?shù)：

內(nèi)容簡(jiǎn)介

　　本書(shū)內(nèi)容包括大數(shù)據(jù)基礎(chǔ)、大數(shù)據(jù)的應(yīng)用、大數(shù)據(jù)的類型、數(shù)據(jù)建模、數(shù)據(jù)采集、云存儲(chǔ)、數(shù)據(jù)庫(kù)、數(shù)據(jù)倉(cāng)庫(kù)、數(shù)據(jù)提取、數(shù)據(jù)轉(zhuǎn)換和加載、大數(shù)據(jù)分析工具及其主要功能、數(shù)據(jù)挖掘、數(shù)據(jù)挖掘算法、大數(shù)據(jù)編程語(yǔ)言、Spark、數(shù)據(jù)可視化及其工具、大數(shù)據(jù)與云計(jì)算、大數(shù)據(jù)安全的挑戰(zhàn)與解決方案、大數(shù)據(jù)與隱私等。 \n全書(shū)共10個(gè)單元，每一單元包括課文、單詞、詞組、縮略語(yǔ)、習(xí)題、參考譯文、閱讀材料。附錄A“大數(shù)據(jù)專業(yè)英語(yǔ)詞匯特點(diǎn)及翻譯技巧”可以幫助讀者記憶和翻譯專業(yè)詞匯；附錄B、附錄C、附錄D既可用于復(fù)習(xí)和背誦，也可作為小詞典長(zhǎng)期查閱。本書(shū)課文配有音頻材料，掃描二維碼即可收聽(tīng)。 \n本書(shū)既可作為高等院校本、專科大數(shù)據(jù)及相關(guān)專業(yè)的專業(yè)英語(yǔ)教材，也可作為相關(guān)從業(yè)人員自學(xué)的參考書(shū)，還可作為培訓(xùn)班的培訓(xùn)用書(shū)。

作者簡(jiǎn)介

暫缺《大數(shù)據(jù)專業(yè)英語(yǔ)教程》作者簡(jiǎn)介

圖書(shū)目錄

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
附錄199 \n
附錄A 大數(shù)據(jù)專業(yè)英語(yǔ)詞匯特點(diǎn)及翻譯技巧199 \n
附錄B 單詞表201 \n
附錄C 詞組表222 \n
附錄D 縮寫表233