本教材以“专业性与实用性结合、理论与应用并重”为编写理念，依托大数据技术的核心知识体系，构建了“文献精读—术语解析—案例实践—能力拓展”的立体化学习框架。全书共设16个单元，精选32篇英文文献作为教学主体，覆盖数据采集、存储、分析、可视化及分析报告等全链条主题，每单元通过Text A与Text B双文本设计，从不同视角剖析同一技术或应用场景，帮助学习者构建多维认知。在这一框架下，教材采用三大核心设计，从知识输入、技能训练到能力输出形成完整闭环，助力学习者实现从语言积累到专业应用的跨越。

Unit 1 Big Data
Text A: Definition of Big Data
Text B: Understanding to Big Data
Exercise
Unit 2 Big Data Analytics
Text A: Development of Big Data Analytics
Text B: Definition of Big Data Analytics
Exercise
Unit 3 Basic Framework for Big Data Analytics
Text A: Architecture of Big Data Analytics
Text B: Successful Big Data Analytics Architecture
Exercise
Unit 4 Hadoop
Text A: History of Hadoop
Text B: Introduction to Hadoop
Exercise
Unit 5 Cloud Services
Text A: Cloud Services Overview
Text B: Common Cloud Service Models
Exercise
Unit 6 Big Data Acquisition
Text A: Overview of Big Data Acquisition
Text B: Future Requirements and Emerging Trends for Big Data Acquisition
Exercise
Unit 7 Big Data Storage
Text A: Traditional Data Storage Systems
Text B: Requirements and Solutions of Big Data Storage
Exercise
Unit 8 Big Data Quality
Text A: Big Data Quality Definitions
Text B: Quality Criteria of Big Data
Exercise
Unit 9 Introduction to Data Mining
Text A: History of Data Mining
Text B: Milestones of Data Mining
Exercise
Unit 10 The Concept and Task of Data Mining
Text A: Definition of Data Mining
Text B: Data Mining Tasks
Exercise
Unit 11 Introduction to Data Visualization
Text A: Background of Data Visualization
Text B: Definition of Data Visualization
Exercise
Unit 12 Application and Theoretical Model of Data Visualization
Text A: Application of Data Visualization
Text B: Understanding Data Visualization Models
Exercise
Unit 13 Data Visualization: Principles & Techniques for Deeper Insights
Text A: Data Visualization Principles
Text B: Uncommon Data Visualization Techniques for Enhanced Insights
Exercise
Unit 14 Data Visualization Tools
Text A: The Evolution and Impact of Data Visualization Tools
Text B: Best Practices for Implementing Advanced Data Visualization Platforms in Organizations
Exercise
Unit 15 Mistakes and Fixes on Data Analytics Report
Text A: Common Design Mistakes in Data Analytics Reports
Text B: Ensuring Data Accuracy and Avoiding Icon Overload in Data Analytics Reports
Exercise
Unit 16 Data Relationships
Text A: Five Types of Data Relationships
Text B: Five Extended Insights Based on Core Data Relationships
Exercise
常用大数据词汇中英文对照表