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| |  Online-Ressource |
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| Verfasst von: | Riscutia, Vlad [VerfasserIn]  |
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| Titel: | Data Engineering on Azure |
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| Verf.angabe: | Vlad Riscutia |
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| Verlagsort: | [Shelter Island, New York] |
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| Verlag: | Manning Publications |
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| E-Jahr: | 2021 |
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| Jahr: | [2021] |
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| Umfang: | 1 online resource (1 audio file) |
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| Fussnoten: | Machine-generated record |
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| Abstract: | In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. |
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| URL: | Aggregator: https://learning.oreilly.com/library/view/-/9781617298929AU/?ar |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Bases de données ; Gestion |
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| | Audiobooks |
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| | Livres audio |
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| K10plus-PPN: | 1907898786 |
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| Lokale URL UB: |  Zum Volltext |
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| | Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
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| |  Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich |
| Bibliothek/Idn: | UW / m4611091988 |
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| Lokale URL Inst.: | Zum Volltext |
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Data Engineering on Azure / Riscutia, Vlad [VerfasserIn]; [2021] (Online-Ressource)
69271519
