Title: Analisando os recursos do Java e do Map Reduce no Hadoop
Publisher: Edi��es Nosso Conhecimento
Publication Date: 2026
Language: Portuguese
ISBN 10: 6209555403
ISBN 13: 9786209555404
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 96 grams

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Synopsis

O Hadoop, a implementa��o de c�digo aberto e baseada em Java da Apache Software Foundation da estrutura Map/Reduce, � uma estrutura de computa��o distribu�da projetada para aplica��es distribu�das com uso intensivo de dados. Ele fornece as ferramentas para processar grandes quantidades de dados usando a estrutura Map/Reduce e, al�m disso, implementa um sistema de ficheiros distribu�do semelhante ao sistema de ficheiros do Google. Pode ser usado para processar grandes quantidades de dados em paralelo em grandes clusters de maneira confi�vel e tolerante a falhas. H� muito tempo que o Java � utilizado por muitos programadores para processar dados. Neste livro, comparamos e analisamos o desempenho do Hadoop com o Java, do Hadoop com o Hadoop Optimize e do Hadoop Optimize com o Java em termos de diferentes crit�rios de desempenho, tais como processamento (utiliza��o da CPU), armazenamento e efici�ncia no processamento de dados. Os nossos resultados experimentais mostram uma melhoria no tempo de execu��o ao utilizar o algoritmo Map/Reduce otimizado. Na compara��o entre o Hadoop e o Java, o Hadoop � melhor quando temos um cluster de v�rios n�s e o tamanho dos dados � grande. No entanto, quando temos um �nico n� e um tamanho de dados pequeno, at� mesmo o Java pode ter um desempenho melhor.

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