March 2025
Intermediate to advanced
278 pages
8h 22m
Portuguese (Portugal, Brazil)
Content preview from Decifrar as arquitecturas de dados
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Capítulo 1. Os grandes dados
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O número de empresas que constroem arquitecturas de dados explodiu na década de 2020. É improvável que esse crescimento abrande tão cedo, em grande parte porque há mais dados disponíveis do que nunca: das redes sociais, dispositivos da Internet das Coisas (IoT), aplicações desenvolvidas internamente e software de terceiros, para citar apenas algumas fontes. De acordo com um estudo do BCG de 2023, "o volume de dados gerados aproximadamente duplicou de 2018 a 2021 para cerca de 84 ZB, uma taxa de crescimento que se espera que continue". Os pesquisadores "estimam que o volume de dados gerados aumentará a uma taxa de crescimento anual composta (CAGR) de 21% de 2021 a 2024, atingindo 149 ZB". As empresas sabem que podem poupar milhões de dólares e aumentar as receitas recolhendo estes dados e utilizando-os para analisar o passado e o presente e fazer previsões sobre o futuro - mas para isso, precisam de uma forma de armazenar todos esses dados.
Em todo o mundo empresarial, a pressa é grande para construir arquitecturas de dados o mais rapidamente possível. Essas arquitecturas têm de estar preparadas para lidar com quaisquer dados futuros - independentemente do seu tamanho, velocidade ou tipo - e para manter a sua precisão. E aqueles de nós que trabalham com arquiteturas de dados precisam entender claramente como elas funcionam e quais ...
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