Chunked: meaning, definitions and examples

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chunked

 

[ ʧʌŋkt ]

Verb
Context #1 | Verb

data processing

Chunked refers to the act of breaking data into smaller, manageable parts or blocks. This technique is widely used in computer science and data processing to enhance efficiency and performance during analysis or transmission. By chunking data, systems can process information more rapidly and streamline workflows, allowing for better organization and retrieval of data. This approach is especially beneficial in scenarios where large datasets need to be handled effectively.

Synonyms

divided, partitioned, split.

Examples of usage

  • The large dataset was chunked to improve processing speed.
  • We chunked the files to make them easier to upload.
  • Data was chunked for better memory management during analysis.

Translations

Translations of the word "chunked" in other languages:

🇵🇹 fragmentado

🇮🇳 टुकड़ा

🇩🇪 chunked

🇮🇩 terpotong

🇺🇦 складений

🇵🇱 podzielony

🇯🇵 チャンク化された

🇫🇷 fragmenté

🇪🇸 fragmentado

🇹🇷 parçalanmış

🇰🇷 청크화된

🇸🇦 مجزأ

🇨🇿 rozdělený

🇸🇰 rozdelený

🇨🇳 分块的

🇸🇮 razdeljen

🇮🇸 brotið

🇰🇿 бөліктерге бөлінген

🇬🇪 ბლოკირებული

🇦🇿 parçalanmış

🇲🇽 fragmentado

Etymology

The term 'chunked' originates from the word 'chunk,' which was first recorded in English in the late 14th century, meaning a 'lump' or 'piece.' The transition from a physical lump to its current use in data processing reflects the evolution of language alongside technological advancements. In the 20th century, the term 'chunking' gained prominence in psychology and cognitive science, specifically in the study of memory and information processing. Researchers found that breaking information into smaller units, or 'chunks,' greatly improves retention. This concept has been adopted in computer science, where chunking refers to dividing data into manageable pieces to enhance performance in various applications. The ongoing evolution of the term emphasizes its adaptability across different fields, illustrating the interplay between language and technology.