September 2024
Intermediate to advanced
310 pages
9h 32m
German
Content preview from Stream Processing mit Apache Flink
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Kapitel 8. Lesen von und Schreiben in externe Systeme
Diese Arbeit wurde mithilfe von KI übersetzt. Wir freuen uns über dein Feedback und deine Kommentare: translation-feedback@oreilly.com
Daten können in vielen verschiedenen Systemen gespeichert werden, z. B. in Dateisystemen, Objektspeichern, relationalen Datenbanksystemen, Key-Value-Speichern, Suchindizes, Ereignisprotokollen, Nachrichtenwarteschlangen und so weiter. Jede Systemklasse wurde für bestimmte Zugriffsmuster entwickelt und eignet sich hervorragend für einen bestimmten Zweck. Daher bestehen die heutigen Dateninfrastrukturen oft aus vielen verschiedenen Speichersystemen. Bevor du eine neue Komponente in den Mix einfügst, solltest du dir die logische Frage stellen: "Wie gut funktioniert sie mit den anderen Komponenten in meinem Stack?"
Das Hinzufügen eines Datenverarbeitungssystems wie Apache Flink erfordert sorgfältige Überlegungen, da es keine eigene Speicherschicht enthält, sondern auf externe Speichersysteme angewiesen ist, um Daten aufzunehmen und zu speichern. Daher ist es wichtig, dass Datenverarbeitungssysteme wie Flink eine gut ausgestattete Bibliothek mit Konnektoren zum Lesen von Daten aus externen Systemen und zum Schreiben von Daten in externe Systeme sowie eine API zur Implementierung benutzerdefinierter Konnektoren bereitstellen. Die Möglichkeit, Daten aus externen Datenspeichern zu lesen oder in diese zu schreiben, reicht jedoch nicht aus, wenn ein Stream-Prozessor im Falle eines Ausfalls sinnvolle Konsistenzgarantien ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.