April 2025
Intermediate to advanced
386 pages
12h 11m
Italian
Content preview from Data Mesh
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Capitolo 2. Principio di proprietà del dominio
Questo lavoro è stato tradotto utilizzando l'AI. Siamo lieti di ricevere il tuo feedback e i tuoi commenti: translation-feedback@oreilly.com
Data Mesh, nel suo nucleo centrale, si basa sulla decentralizzazione e sulla distribuzione della responsabilità dei dati alle persone più vicine ai dati stessi. Questo per supportare una struttura scalabile e cicli di cambiamento continui e rapidi.
La questione è come identificare i confini attorno ai quali i dati vengono scomposti, come integrare questi componenti e, di conseguenza, come distribuire le responsabilità.
Per trovare l'asse di decomposizione dei dati, il data mesh segue le cuciture delle unità organizzative. Segue le linee di divisione delle responsabilità allineate al business. Non segue i confini stabiliti dalle soluzioni tecnologiche sottostanti, come il lago, il magazzino, le pipeline e così via, né le linee funzionali, il team di dati o il team di analisi.
L'approccio Data Mesh è in contrasto con la suddivisione delle architetture di dati esistenti e con le responsabilità dei dati. Il Capitolo 8 dimostra che le architetture di dati tradizionali sono suddivise in base alla tecnologia, ad esempio i data warehouse, e attribuiscono la proprietà dei dati ai team che svolgono attività correlate alla tecnologia, ad esempio il team del data warehouse, il team della pipeline di dati, ecc. Le architetture tradizionali rispecchiano una struttura organizzativa che accentra la responsabilità ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.