Big data refers to massive, complex datasets that require advanced technology to analyze for valuable insights.
30초 단어
- Vast, diverse, and rapidly growing datasets.
- Requires advanced tools for analysis and insight.
- Drives decision-making across industries.
Overview
大数据（Big Data）是一个在信息技术领域非常流行的术语，用来描述那些传统数据处理应用软件难以捕捉、管理和处理的数据集。它的特点是体量（Volume）、速度（Velocity）和多样性（Variety），通常被称为3V。随着技术的发展，又增加了价值（Value）和真实性（Veracity）等属性，形成了5V模型。大数据分析能够帮助企业和组织做出更明智的决策，发现新的商业机会，优化运营效率，并改善客户体验。
在句子中，“大数据”通常作为主语、宾语或定语使用。它可以与“分析”、“技术”、“平台”、“应用”、“时代”、“挑战”、“机遇”等词语搭配。例如：“大数据的应用越来越广泛”、“我们正在进入大数据时代”、“大数据分析需要专业的工具”。
大数据这个概念广泛应用于商业、科学研究、政府管理、医疗保健、金融服务、市场营销等多个领域。在商业领域，企业利用大数据来理解消费者行为，进行精准营销，优化产品设计。在科学研究中，大数据分析有助于加速发现过程，例如在基因组学、天文学和气候变化研究中。政府部门则利用大数据来改善城市规划、公共安全和交通管理。
“数据”是大数据的基础概念，但大数据强调的是数据的规模、复杂性和处理难度。与“信息”相比，大数据更侧重于原始的数据集合，而信息则是在数据基础上经过处理、组织和解释后的有意义的内容。 “云计算”是大数据处理和存储的重要技术支撑，它提供了弹性、可扩展的计算资源来处理海量数据，但大数据本身是指数据，而云计算是指技术和服务。
예시
这家公司利用大数据分析来了解客户的购买习惯。
everydayThis company uses big data analysis to understand customer purchasing habits.
大数据技术正在深刻地改变着科学研究的范式。
academicBig data technology is profoundly changing the paradigm of scientific research.
政府部门通过分析城市交通的大数据，来优化信号灯配时。
formalGovernment departments analyze big data on urban traffic to optimize traffic light timing.
现在很多APP都在收集你的大数据。
informalMany apps nowadays collect your big data.
자주 쓰는 조합
자주 쓰는 구문
大数据的价值
The value of big data
大数据的挑战
Challenges of big data
大数据的机遇
Opportunities of big data
자주 혼동되는 단어
Data is the raw material. Big data refers to datasets that are too large and complex for traditional processing methods, emphasizing their volume, velocity, and variety.
Artificial intelligence (AI) is a broader field focused on creating intelligent machines. Big data is often a crucial input or fuel for AI algorithms, but AI is not limited to big data analysis.
문법 패턴
How to Use It
사용 참고사항
Big data is a technical and business term, often used in formal or semi-formal contexts. It's frequently discussed in relation to technology, business strategy, and scientific research. Avoid using it in very casual conversation unless the topic specifically involves technology or data analysis.
자주 하는 실수
Confusing 'big data' with simply 'a lot of data'. Big data implies a level of complexity and a need for specialized tools beyond simple quantity. Also, sometimes people use it interchangeably with 'data science', but big data is the subject matter, while data science is the practice of analyzing it.
Tips
Understand the 3Vs of Big Data
Remember Big Data by its core characteristics: Volume (large amount), Velocity (fast speed), and Variety (diverse types of data).
Beware of Data Privacy Issues
Handling big data often involves sensitive information. Always ensure compliance with privacy regulations and ethical guidelines.
Big Data is Transforming Industries
The impact of big data is profound, revolutionizing how businesses operate, how science is conducted, and how governments serve citizens.
어원
The term 'big data' emerged in the early 2000s, gaining prominence as computational power increased and the amount of digital information generated exploded. It describes the challenges and opportunities presented by these massive datasets.
문화적 맥락
In contemporary society, big data is seen as a powerful resource driving innovation and economic growth. There's both excitement about its potential and concern regarding privacy and ethical implications.
암기 팁
Think of 'Big Data' as a giant, messy library. You need special tools (like advanced search engines and librarians) to find the exact book (information) you need among the millions of volumes.
자주 묻는 질문
4 질문大数据与传统数据的关键区别在于规模、速度和多样性。传统数据通常结构化且规模较小，易于管理。而大数据规模巨大、类型多样（结构化、半结构化、非结构化），且生成速度快，需要专门的技术和工具来处理。
支持大数据处理的关键技术包括分布式计算框架（如Hadoop、Spark）、NoSQL数据库、数据仓库、数据挖掘算法、机器学习以及云计算平台。这些技术共同解决了海量数据的存储、处理和分析难题。
大数据分析的主要目的是从海量数据中发现隐藏的模式、关联和趋势，从而获得洞察力。这些洞察力可以帮助组织做出更明智的决策，预测未来发展，优化业务流程，提高效率，并创造新的价值。
学习大数据通常需要掌握数据分析、编程（如Python, R, SQL）、数据库管理、统计学知识、机器学习算法以及分布式计算工具（如Hadoop, Spark）等技能。同时，良好的问题解决能力和业务理解能力也很重要。
셀프 테스트
通过对海量用户行为的______，公司能够更精准地推送广告。
句子描述的是从数据中提取信息的过程，因此“分析”是最合适的词。
以下哪项不是大数据的典型特征？
大数据的核心特征之一是速度快（Velocity），指数据生成和处理的速度。
请用“大数据”、“技术”、“驱动”、“创新”这几个词语造句。
这句话表达了大数据技术在推动创新方面的重要作用，逻辑清晰。
점수: /3
Summary
Big data refers to massive, complex datasets that require advanced technology to analyze for valuable insights.
- Vast, diverse, and rapidly growing datasets.
- Requires advanced tools for analysis and insight.
- Drives decision-making across industries.
Understand the 3Vs of Big Data
Remember Big Data by its core characteristics: Volume (large amount), Velocity (fast speed), and Variety (diverse types of data).
Beware of Data Privacy Issues
Handling big data often involves sensitive information. Always ensure compliance with privacy regulations and ethical guidelines.
Big Data is Transforming Industries
The impact of big data is profound, revolutionizing how businesses operate, how science is conducted, and how governments serve citizens.
예시
4 / 4这家公司利用大数据分析来了解客户的购买习惯。
This company uses big data analysis to understand customer purchasing habits.
大数据技术正在深刻地改变着科学研究的范式。
Big data technology is profoundly changing the paradigm of scientific research.
政府部门通过分析城市交通的大数据，来优化信号灯配时。
Government departments analyze big data on urban traffic to optimize traffic light timing.
现在很多APP都在收集你的大数据。
Many apps nowadays collect your big data.
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本事
A2Skill; ability; capability.
相应地
B1Correspondingly.
账号
A2account (e.g., bank, online)
会计
A2accounting, accountant
客户经理
A2account manager
账户
B1A record of financial transactions for an individual or business, usually at a bank; or a user profile for a digital service.
收购
B1To purchase; to acquire (a company).
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A2Advertising expenses.
调整
B1To change something slightly in order to make it more correct, effective, or suitable.
