decentralized data processing
[dih-SEN-truh-lyzd DAY-tuh PRAH-ses-ing]
noun
processamento de dados descentralizado
1. A computing approach where data processing tasks are distributed across multiple independent nodes or locations rather than being concentrated in a single central server or data center
Decentralized data processing allows organizations to reduce latency and improve system resilience by processing information closer to its source.
O processamento de dados descentralizado permite que as organizações reduzam a latência e melhorem a resiliência do sistema processando informações mais próximas à sua origem.
2. In distributed computing systems, the execution of computational tasks across a network of autonomous computers without reliance on a central authority or coordinator
Blockchain technology relies on decentralized data processing to maintain security and transparency across the network.
A tecnologia blockchain depende do processamento de dados descentralizado para manter a segurança e transparência através da rede.
This term is widely used in both Brazilian and Portuguese tech sectors, particularly in discussions about cloud infrastructure, blockchain adoption, and IoT systems. In the USA, particularly in Silicon Valley and tech hubs like NYC, it's become increasingly relevant with the rise of edge computing and distributed systems. The concept represents a shift from traditional centralized mainframe computing models to more resilient, scalable architectures.
Related Idioms & Phrases
distributing the load across nodes
pushing processing to the edge
taking the server out of the equation
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