Data processing: meaning, definitions and examples
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data processing
[ ˈdeɪtə ˈprɑːˌsɛsɪŋ ]
technology
The action or process of converting information into a digital format, allowing for manipulation, analysis, and storage of data.
Synonyms
data analysis, data manipulation, information processing.
Which Synonym Should You Choose?
Word | Description / Examples |
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data processing |
When referring to the broad, general handling and organization of data, often automated or done by computer systems.
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data analysis |
When focusing on examining and interpreting data to uncover patterns, insights, or trends, often used in research or business contexts.
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data manipulation |
When specifically talking about altering, organizing, or transforming data, either ethically or unethically. It can have a negative connotation if it implies unethical changes.
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information processing |
When discussing the handling and management of information in a general sense, often including cognitive processes and human activities.
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Examples of usage
- Data processing plays a crucial role in modern businesses.
- The speed of data processing has significantly increased with the advancement of technology.
business
The handling and transformation of data into valuable insights for decision-making purposes.
Synonyms
data analytics, data interpretation, data transformation.
Which Synonym Should You Choose?
Word | Description / Examples |
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data processing |
Handling and organizing raw data into an understandable format. Typically involves sorting, cleaning, and converting data into a usable format.
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data analytics |
Examining datasets to draw conclusions and insights. Involves techniques like statistical analysis, data mining, and machine learning.
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data interpretation |
Making sense of analyzed data, often by explaining its significance, drawing conclusions, and making recommendations. This is the step where findings from data analytics are translated into actionable insights.
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data transformation |
Changing the format, structure, or values of data to meet the requirements of a particular analysis or system. Typically part of the ETL (Extract, Transform, Load) process.
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Examples of usage
- Efficient data processing can lead to competitive advantages in the market.
- Companies invest heavily in data processing tools to optimize their operations.
computing
To perform operations on data to extract meaningful information or achieve a specific outcome.
Synonyms
data computation, data manipulation, information processing.
Which Synonym Should You Choose?
Word | Description / Examples |
---|---|
data processing |
Typically used when referring to the general act of taking raw data and turning it into usable information. It is often used in contexts like data storage, retrieval, and systematic organization.
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data manipulation |
Refers to the modification, transformation, or moving of data. It involves actions that change the data's structure or content and can sometimes have a negative connotation if it implies unethical alterations.
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data computation |
Specifically used for tasks that require mathematical or algorithmic operations on data. It is often found in technical contexts involving extensive calculations or simulations.
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information processing |
Generally used to describe the act of taking data and producing meaningful information from it, with a focus on the flow and handling of information rather than the computational aspects.
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Examples of usage
- The software is designed to process data efficiently.
- Data processing involves cleaning, transforming, and analyzing large datasets.
Translations
Translations of the word "data processing" in other languages:
🇵🇹 processamento de dados
🇮🇳 डेटा प्रोसेसिंग
🇩🇪 Datenverarbeitung
🇮🇩 pemrosesan data
🇺🇦 обробка даних
🇵🇱 przetwarzanie danych
🇯🇵 データ処理
🇫🇷 traitement des données
🇪🇸 procesamiento de datos
🇹🇷 veri işleme
🇰🇷 데이터 처리
🇸🇦 معالجة البيانات
🇨🇿 zpracování dat
🇸🇰 spracovanie údajov
🇨🇳 数据处理
🇸🇮 obdelava podatkov
🇮🇸 gagnavinnsla
🇰🇿 деректерді өңдеу
🇬🇪 მონაცემთა დამუშავება
🇦🇿 məlumatların işlənməsi
🇲🇽 procesamiento de datos
Etymology
The concept of data processing dates back to the early 20th century with the emergence of tabulating machines. Over time, the field evolved with the development of computers and digital technologies, leading to the widespread use of data processing in various industries. Today, data processing plays a critical role in decision-making processes, scientific research, and technological advancements.