April 2025
Intermediate to advanced
386 pages
12h 7m
Portuguese (Portugal, Brazil)
Content preview from Data Mesh
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Capítulo 8. Antes do ponto de inflexão
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Os problemas de hoje resultam das "soluções" de ontem.
Peter M. Senge, A Quinta Disciplina
Organizacional complexidade, proliferação de fontes de dados, aumento das expectativas em relação aos dados: estas são as forças que têm colocado pressão nas nossas abordagens actuais à gestão de dados analíticos. Os nossos métodos actuais fizeram progressos notáveis no dimensionamento das máquinas: gestão de grandes volumes de uma variedade de tipos de dados com armazenamento de dados distribuído à escala planetária, transmissão fiável de dados a alta velocidade através de fluxos e processamento rápido e simultâneo de cargas de trabalho com grande volume de dados. No entanto, os nossos métodos têm limitações no que respeita à complexidade e escala organizacional, a escala humana.
Neste capítulo, apresento brevemente o panorama atual das arquitecturas de dados, as suas caraterísticas subjacentes e as razões pelas quais, no futuro, nos limitam.
Evolução das arquitecturas de dados analíticos
A forma como gerimos os dados analíticos tem passado por mudanças evolutivas, mudanças essas impulsionadas por novos modelos de consumo, que vão desde a análise tradicional de apoio às decisões empresariais até aos produtos inteligentes aumentados com ML. Embora tenhamos assistido a um crescimento acelerado do número de tecnologias de dados analíticos, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.