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A comparative study of big data stream processing frameworks: Spark, Storm, and Flink [PDF]
, 2016 Bu çalışmada, büyük veri konseptinde akışkan veri işleyebilen sistemlerden Apache Spark, Storm ve Flink karşılaştırarak incelenmektedir. Bu çalışmaya dahil edilen sistemler çeşitli durum ve şartlar altında ideal performanslarını gösterebilecek şekilde ...
Alayyoub, Mohammed
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“Ik ben zoo diep gezakt door deze oorlog”
Tijdschrift voor Sociale en Economische GeschiedenisTijdens de bezetting nam het aantal veroordelingen wegens diefstal en andere vermogensdelicten door Nederlandse rechtbanken flink toe. Als gevolg van schaarste, (gedwongen) tewerkstelling, werkloosheid en oorlogsschade begaven meer burgers zich op het ...
Jan Julia Zurné
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Apache Flink: Distributed Stream Data Processing
, 2016 The amount of data is growing significantly over the past few years. Therefore, the need for distributed data processing frameworks is growing. Currently, there are two well-known data processing frameworks with an API for data batches and an API for ...
Surdy, Kacper, Jacobs, Kevin
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Gong-kuang zidonghuaIn the process of coal mine intelligent transformation, multi-source heterogeneous data are growing explosively, but the application of these data in coal enterprises still stays at the preliminary stage of visualization, and faces three bottlenecks: the
ZHANG Zhixing +6 more
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Autonomous Raspberry Pi Drone Docking System with Implementation of Apache Flink
, 2021 Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It can be deployed in most common cluster environment and is able to perform computation by distributing the workload among ...
Chear, Richard +4 more
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Machine Learning im Big Data Umfeld – Experimenteller Vergleich von Apache Flink und Apache Spark [PDF]
, 2019 Das Große Thema in der Informatik ist zur Zeit der Bereich der „Künstlichen Intelligenz“, ein Teilbereich aus diesem ist das „Maschinelle Lernen“. Die Open Source Big Data Frameworks Apache Flink und Apache Spark bieten verschiedene Bibliotheken und ...
Bruhns, Jannik
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Serverless Streaming Graph Analytics with Flink Stateful Functions
, 2022 Serverless Function as a Service (FaaS) platforms have been an emerging trend nowadays with the continuous improvement of the cloud-native ecosystem.
Chen, Sihan
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RL4CEP: reinforcement learning for updating CEP rules
Complex & Intelligent SystemsThis paper presents RL4CEP, a reinforcement learning (RL) approach to dynamically update complex event processing (CEP) rules. RL4CEP uses Double Deep Q-Networks to update the threshold values used by CEP rules.
Afef Mdhaffar +4 more
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Graphen im Big Data Umfeld - Experimenteller Vergleich von Apache Flink und Apache Spark [PDF]
, 2017 Graphen eignen sich ideal, um Relationen zwischen Objekten abzubilden. Allerdings benötigen die Big Graphs spezielle Systeme, um diese zu verarbeiten und zu analysieren.
Kaepke, Marc
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