distributed data processing

[/dɪˈstrɪbjutɪd ˈdeɪtə ˈprɑːsɛsɪŋ/]
noun
processamento distribuído de dados
1. A computing system where data processing tasks are spread across multiple computers or nodes connected by a network, rather than being handled by a single central computer
The company implemented distributed data processing to handle their massive database across several servers.
A empresa implementou processamento distribuído de dados para gerenciar seu banco de dados massivo em vários servidores.
2. A method of breaking down large computational problems into smaller tasks that can be executed simultaneously on different machines
Distributed data processing allows the system to achieve better performance and fault tolerance.
O processamento distribuído de dados permite que o sistema alcance melhor desempenho e tolerância a falhas.
This is a technical term widely used in both Brazilian and American IT industries. In Brazil, it gained prominence with the growth of cloud computing and big data solutions. The term is used standardly in academic and professional contexts across both Portuguese-speaking and English-speaking countries without significant cultural variation.
Synonyms / Sinônimos
distributed computingdecentralized data processingparallel data processinggrid computing
Antonyms / Antônimos
centralized data processingcentralized computingmainframe processing

Regional Variations

General Brazilian Portuguese
processamento distribuído de dados
Standard technical term used in IT industry and academia
São Paulo
processamento distribuído de dados
Commonly used in tech companies and startups in the region
Portugal
processamento distribuído de dados
Same term used with identical meaning in European Portuguese
USA/General English
distributed data processing (DDP)
Often abbreviated as DDP in technical documentation

Related Words

distributed systemcloud computingparallel processingnetwork architecturedata centerload balancingfault tolerancescalability

Related Idioms & Phrases

spreading the load across multiple systems
divide and conquer approach to data processing
breaking down the problem into smaller chunks
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