March 2025
Intermediate to advanced
278 pages
8h 20m
Italian
Content preview from Decifrare le architetture dei dati
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Capitolo 5. Il lago dei dati
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I big data hanno iniziato a comparire in volumi senza precedenti all'inizio degli anni 2010, grazie all'aumento delle fonti che producono dati semistrutturati e non strutturati, come sensori, video e social media. I dati semistrutturati e non strutturati contengono una quantità fenomenale di valore: pensa agli approfondimenti contenuti in anni di email dei clienti! Tuttavia, all'epoca i data warehouse relazionali potevano gestire solo dati strutturati. Inoltre, avevano difficoltà a gestire grandi quantità di dati o dati che dovevano essere inseriti spesso, quindi non erano un'opzione per l'archiviazione di questi tipi di dati. Questo ha costretto il settore a trovare una soluzione: i data lake. I data lake sono in grado di gestire facilmente i dati semi-strutturati e non strutturati e di gestire i dati che vengono inseriti spesso.
Anni fa, ho parlato con gli analisti di una grande catena di vendita al dettaglio che volevano raccogliere dati da Twitter per vedere cosa pensavano i clienti dei loro negozi. Sapevano che i clienti avrebbero esitato a presentare reclami ai dipendenti del negozio, ma che sarebbero stati veloci a scriverli su Twitter. Li ho aiutati a ingerire i dati di Twitter in un data lake e a valutare il sentiment dei commenti dei clienti, classificandoli come positivi, neutri o negativi. Quando hanno ...
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