| Description |
1 online resource (1 volume) : illustrations |
| Summary |
The demand for data scientists is well-known, but when it comes time to build solutions based on data, your company also needs data engineers--people with strong data warehousing and programming backgrounds. In fact, whether you're powering self-driving cars or creating music playlists, this field has emerged as one of the most important in modern business. In this report, Lewis Gavin explores key aspects of data engineering and presents a case study from Spotify that demonstrates the tremendous value of this role. |
| Subject |
Information technology -- Management.
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Machine learning.
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Electronic data processing.
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Technologie de l'information -- Gestion. |
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Apprentissage automatique. |
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Electronic data processing |
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Information technology -- Management |
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Machine learning |
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