October 2024
Intermediate to advanced
636 pages
20h 29m
German
Content preview from Architektur von modernen Datenplattformen
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Kapitel 16. Lösungen in der Public Cloud
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Unsere Diskussion über öffentliche Clouds unterscheidet sich von der über private Clouds. Im Gegensatz zu Hadoop-Diensten in privaten Clouds gibt es Tausende von Beispielen, in denen große Organisationen und Unternehmen Hadoop erfolgreich in der öffentlichen Cloud betreiben.
In den folgenden Kapiteln konzentrieren wir uns auf die drei größten Public Cloud-Provider auf dem Markt:
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Amazon Web Services (AWS)
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Microsoft Azure
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Google Cloud Project (GCP)
In diesem Kapitel werden die Portfolios unserer drei Cloud-Provider durch die Brille von Hadoop betrachtet. Wir gehen auf die wichtigsten Kategorien ein: Instanzen, Speicherung und mögliche Lebenszyklusmodelle. Anschließend geben wir Tipps, wie du die Portfolios der Anbieter für die Implementierung von Clustern und Big Data-Anwendungsfällen nutzen kannst.
Wichtigste Dinge zu wissen
Ein Teil des Wertversprechens für die Cloud ist, dass IT-Dienste zu einer Blackbox werden, um die du dich nicht kümmern musst. Das bedeutet aber auch, dass du nicht weißt, was in dieser Blackbox vor sich geht. Für unser Vorhaben, Hadoop in einer öffentlichen Cloud zu betreiben, ist das eine gute Nachricht (und gleichzeitig eine schlechte). Hier sind einige wichtige Dinge, die du beachten solltest:
- Lebenszyklus-Modelle
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In "Cluster-Lebenszyklus-Modelle" wird erklärt, dass die ...
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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.
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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.