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  • Common Content for Data Integration 10.4.1
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  1. Vorwort
  2. Teil 1: Version 10.4.1
  3. Teil 2: Version 10.4.0
  4. Teil 3: Version 10.2.2
  5. Teil 4: Version 10.2.1
  6. Teil 5: Version 10.2
  7. Teil 6: Version 10.1.1
  8. Teil 7: Version 10.1

Versionshandbuch (10.4.1.2)

Versionshandbuch (10.4.1.2)

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Spark-Ausführungs-Engine

Spark-Ausführungs-Engine

Ab Version 10.2.2 nutzt Enterprise Data Lake die Spark-Engine für Aufgaben mit hoher Ressourcenauslastung, beispielsweise Objektveröffentlichung, sowie zur Ausführung aktiver Regel-Mapplets, bei denen die Python-Umwandlung verwendet wird. Durch Einsatz der Spark-Engine für Aufgaben mit hoher Ressourcenauslastung wird eine höhere Leistung erreicht; zudem ist damit eine Bereitstellung von Enterprise Data Lake auf Amazon Elastic MapReduce (EMR) möglich, sodass die automatische Skalierung genutzt werden kann.