April 2025
Intermediate to advanced
246 pages
7h 48m
Portuguese (Portugal, Brazil)
Content preview from O lago de dados na Cloud
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Capítulo 2. Arquiteturas de Big Data na Cloud
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Big data pode significar mais informação, mas também significa mais informação falsa.
Naseem Taleb
Como aprendemos no Capítulo 1, há dois pontos-chave sobre os lagos de dados em Cloud que estabelecem a base para este capítulo:
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Uma abordagem de lago de dados começa com a capacidade de armazenar e processar qualquer tipo de dados, independentemente da sua fonte, tamanho ou estrutura, permitindo assim que uma organização extraia informações de elevado valor de muitas fontes de dados díspares com densidade de valor variável (ou seja, rácio sinal-ruído).
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Construir o seu lago de dados na Cloud envolve uma arquitetura desagregada em que reúne diferentes componentes de soluções IaaS, PaaS e SaaS.
O que é importante lembrar é que a criação da sua solução de lago de dados Cloud também te dá muitas opções de arquitecturas, cada uma com o seu próprio conjunto de pontos fortes. Este artigo do Future.com fornece uma visão geral abrangente dos vários componentes de uma arquitetura de dados moderna. Neste capítulo, vamos nos aprofundar em alguns dos padrões de arquitetura mais comuns, abordando o que eles são e entendendo os pontos fortes de cada uma dessas arquiteturas conforme elas se aplicam a uma organização fictícia chamada Klodars Corporation.
Porque é que a Klodars Corporation muda para a Cloud
A Klodars Corporation ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.