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Técnica CBAR paralela na estrutura Hadoop-MapReduce

Técnica CBAR paralela na estrutura Hadoop-MapReduce

Sayantan Singha Roy

52,01 €
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Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Tecnología: cuestiones generales
ISBN:
9786208363215
52,01 €
IVA incluido
Disponible

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Sobre IBD

O agrupamento de dados é um desafio predominante no processamento de grandes volumes de dados, e a paralelização das operações de agrupamento aumenta significativamente a eficiência das aplicações que envolvem pesquisas frequentes. Existem várias técnicas de agrupamento disponíveis para o agrupamento de dados, sendo o CBAR amplamente utilizado em diferentes aplicações. A paralelização do CBAR é essencial para grandes volumes de dados, e a plataforma Hadoop MapReduce oferece uma estrutura adequada para melhorar a eficiência, tirando partido de técnicas de segmentação eficazes. Este livro envolve a conceção e implementação de algoritmos para CBAR utilizando a abordagem MapReduce, com testes realizados em clusters de até 4 nós. Os resultados demonstram ganhos substanciais de desempenho, que são analisados e discutidos com exemplos ilustrativos.

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