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Apache Flink download for Linux

Free download Apache Flink Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Apache Flink whose latest release can be downloaded as flinkrelease-2.1.0-rc1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Apache Flink with OnWorks for free.

Suivez ces instructions pour exécuter cette application :

- 1. Téléchargé cette application sur votre PC.

- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.

- 3. Téléchargez cette application dans ce gestionnaire de fichiers.

- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.

- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.

- 6. Téléchargez l'application, installez-la et exécutez-la.

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Apache Flink


DESCRIPTION

Apache Flink is an open-source, distributed stream processing framework that enables stateful computations over both unbounded (streaming) and bounded (batch) data sets. It is designed to run in diverse cluster environments, execute computations at in-memory speeds and at any scale, while delivering strong exactly-once guarantees for state consistency.



Caractéristiques

  • Streaming-first engine that natively supports both real-time stream processing and batch processing workloads
  • Elegant, fluent APIs in Java (including DataStream API), Java/Scala/Python/SQL support via Table and SQL APIs
  • Advanced event-time semantics with out-of-order processing and flexible windowing (time, count, session, custom triggers)
  • Fault-tolerance through exactly-once state consistency via periodic checkpoints, savepoints, and natural back-pressure mechanisms
  • High performance with low latency, high throughput, and a custom memory manager for efficient switching between in-memory and out-of-core processing
  • Rich ecosystem including libraries for graph processing, machine learning, and complex event processing, plus connectors for Hadoop, Kafka, HDFS, and more


Langage de programmation

Java


Catégories

Cadres

This is an application that can also be fetched from https://sourceforge.net/projects/apache-flink.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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