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Apache Flink
Apache Flink is a community-driven open source framework for distributed big data analytics, like Hadoop and Spark. The core of Apache Flink is a…
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Related topics
19 relations
Akka
Apache Beam
Apache Calcite
Apache HBase
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources
Edmon Begoli
,
Jesús Camacho-Rodríguez
,
Julian Hyde
,
Michael J. Mior
,
D. Lemire
SIGMOD Conference
2018
Corpus ID: 3554746
Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to…
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2018
2018
Big data multi-query optimisation with Apache Flink
Radhya Sahal
,
M. Khafagy
,
F. Omara
International Journal of Web Engineering and…
2018
Corpus ID: 49390125
Big data analytic frameworks, such as MapReduce, Spark and Flink, have recently gained more popularity to process large data…
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Highly Cited
2017
Highly Cited
2017
State Management in Apache Flink®: Consistent Stateful Distributed Stream Processing
Paris Carbone
,
Stephan Ewen
,
Gyula Fóra
,
Seif Haridi
,
Stefan Richter
,
K. Tzoumas
Proceedings of the VLDB Endowment
2017
Corpus ID: 19267921
Stream processors are emerging in industry as an apparatus that drives analytical but also mission critical services handling the…
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Highly Cited
2017
Highly Cited
2017
A comparison on scalability for batch big data processing on Apache Spark and Apache Flink
Diego García-Gil
,
S. Ramírez-Gallego
,
S. García
,
F. Herrera
2017
Corpus ID: 44374531
The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for…
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2017
2017
Approximate Stream Analytics in Apache Flink and Apache Spark Streaming
D. Quoc
,
Ruichuan Chen
,
Pramod Bhatotia
,
C. Fetzer
,
V. Hilt
,
T. Strufe
arXiv.org
2017
Corpus ID: 5658859
Approximate computing aims for efficient execution of workflows where an approximate output is sufficient instead of the exact…
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Review
2016
Review
2016
Apache Flink: Stream Analytics at Scale
Asterios Katsifodimos
,
Sebastian Schelter
IEEE International Conference on Cloud…
2016
Corpus ID: 12070638
Summary form only given. Apache Flink is an open source system for expressive, declarative, fast, and efficient data analysis on…
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2016
2016
Analyzing extended property graphs with Apache Flink
Martin Junghanns
,
André Petermann
,
Niklas Teichmann
,
Kevin Gómez
,
E. Rahm
NDA@SIGMOD
2016
Corpus ID: 7201527
Graphs are an intuitive way to model complex relationships between real-world data objects. Thus, graph analytics plays an…
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2016
2016
Reproducible Experiments for Comparing Apache Flink and Apache Spark on Public Clouds
S. Perera
,
Ashansa Perera
,
Kamal Hakimzadeh
arXiv.org
2016
Corpus ID: 15363670
Big data processing is a hot topic in today's computer science world. There is a significant demand for analysing big data to…
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Highly Cited
2016
Highly Cited
2016
A Performance Comparison of Open-Source Stream Processing Platforms
Martin Andreoni Lopez
,
A. Lobato
,
O. Duarte
Global Communications Conference
2016
Corpus ID: 17254227
Distributed stream processing platforms is a new class of real-time monitoring systems that analyze and extracts knowledge from…
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Review
2000
Review
2000
Would School Choice Change the Teaching Profession?
C. Hoxby
2000
Corpus ID: 158375287
When parents have some form of school choice, schools should want to hire and keep teachers who help them attract students. Thus…
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