Event Stream Processing: Difference between revisions
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* [[MillWheel]] (Google) |
* [[MillWheel]] (Google) |
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* [[Apache Samza]] (LinkedIn) |
* [[Apache Samza]] (LinkedIn) |
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* [[MUPD8]] |
* [[MUPD8]] (Wallmart Labs) |
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* [[Kafka Streams]] |
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==Autres== |
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Tutorial: Cloud-based Data Stream Processing, DEBS 2014, http://www.dis.uniroma1.it/~midlab/articoli/paper%2066.pdf |
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Latest revision as of 09:29, 1 August 2017
Motivations
Traitement de flots continus (ie non borné dans le temps) de données (mesures, événements) en temps réel.
Applications:
- réseaux de capteurs (IoT)
- journaux système (détection de fraudes, ...)
- finance (quotations boursières, ...)
- réseaux sociaux (post)
- ...
Systèmes
- Apache S4 (Yahoo!)
- Apache Storm (Twitter)
- Spark Streaming
- MillWheel (Google)
- Apache Samza (LinkedIn)
- MUPD8 (Wallmart Labs)
- Kafka Streams
Autres
Tutorial: Cloud-based Data Stream Processing, DEBS 2014, http://www.dis.uniroma1.it/~midlab/articoli/paper%2066.pdf