I due componenti chiave di qualsiasi pipeline di dati sono costituiti dai data lake e dai data warehouse. In questo corso evidenzieremo i casi d'uso per ogni tipo di spazio di archiviazione e approfondiremo i dettagli tecnici delle soluzioni di data lake e data warehouse disponibili su Google Cloud. Inoltre, descriveremo il ruolo di un data engineer, illustreremo i vantaggi di una pipeline di dati di successo per le operazioni aziendali ed esamineremo i motivi per cui il data engineering dovrebbe essere eseguito in un ambiente cloud.
Modernizing Data Lakes & Data Warehouses with GC - Italiano
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Modernizing Data Lakes & Data Warehouses with GC - Italiano
Instructor: Google Cloud Training
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
9 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Capire la differenza tra data lake e data warehouse.
Esplorare i casi d'uso per ogni tipo di spazio di archiviazione e le soluzioni di data lake e data warehouse disponibili su Google Cloud.
Discutere il ruolo di un data engineer e i vantaggi di una pipeline di dati di successo per le operazioni aziendali.
Esaminare i motivi per cui il data engineering dovrebbe avvenire in un ambiente cloud.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in Italian
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There are 6 modules in this course
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