Sessions
A comparative performance evaluation of Flink
Dongwon Kim, POSTECH
A Semantic Big Data Companion
Stefano Bortoli, OKKAM - Flavio Pompermaier, OKKAM
A tale of Squirrels and Storms
Matthias Sax, HU Berlin
Apache Flink cluster deployment on Docker using Docker-Compose
Romeo Kienzler, IBM - Simon Laws, Emerging Technology
Apache Flink: from incubation to Flink 1.0 (Kesselhaus)
Kostas Tzoumas, data Artisans - Stephan Ewen, data Artisans
Apache SAMOA: Mining Big Data Streams with Apache Flink
Albert Bifet, Huawei
Applying Kappa architecture in the telecom industry
Ignacio Mulas Viela, Ericsson
Automatic Detection of Web Trackers at Telefonica Research
Vasia Kalavri, KTH
Beyond MapReduce, Scientific data processing in real-time
Christopher Hillman, University of Dundee
BigPetStore: A comprehensive blueprint for Apache Flink
Suneel Marthi, RedHat
Cascading on Apache Flink
Fabian Hueske, data Artisans
Data science lifecycle with Apache Flink and Apache Zeppelin
Moon soo Lee, NFLabs
Declarative Machine Learning with the Samsara DSL
Sebastian Schelter, TU Berlin
Everyday Flink
Michael Häusler, ResearchGate
Fault Tolerance and Recovery of Flink Jobs
Till Rohrmann, data Artisans
Flink – a convenient abstraction layer for YARN?
Vyacheslav Zholudev, ResearchGate
Flink and Spark: Similarities and Differences
Slim Baltagi, Capital One
Flink? Yet another streaming framework?
Alexander Kolb, Otto Group
Google Cloud Dataflow and Flink, making streaming the default for data processing Cloud and on-premises (Kesselhaus)
William Vambenepe, Google
Google Cloud Dataflow on top of Apache Flink
Maximilian Michels, data Artisans
Gradoop: Scalable Graph Analytics with Apache Flink
Martin Junghanns, University of Leipzig
Implementing Streaming Decision Tree Using Approximative Algorithms in Flink
Anwar Rizal, Amadeus
Interactive Flink Analytics with Hopsworks and Apache Zeppelin
Jim Dowling, SICS
Juggling with Bits and Bytes – How Apache Flink operates on binary data
Fabian Hueske, data Artisans
Karamel – Reproducing distributed systems and experiments on cloud
Kamal Hakimzadeh, KTH
Lightning talks: Flink case studies (Kesselhaus)
Stefano Bortoli, OKKAM - Mohamed Amine Abdessemed, Bouygues Telecom - Ignacio Mulas Viela, Ericsson - Anwar Rizal, Amadeus - Christian Kreuzfeldt, Otto Group - Slim Baltagi, Capital One
Notions of Time – How Apache Flink Handles Time and Windows
Aljoscha Krettek, data Artisans
Procedural Programming vs. Data Flow
Mikio Braun, Zalando
Real Time Analytics at Scale – Smart Data Pipes for the Internet of Things
Assaf Araki, Intel
Real-time data integration with Flink & Apache Kafka at Bouygues Telecom
Mohamed Amine Abdessemed, Bouygues Telecom
Stale Synchronous Parallel Iterations on Flink
Nam-Luc Tran, EURANOVA
Stateful Stream processing
Marton Balassi, Hungarian Academy of Sciences
Static vs Dynamic Stream Processing
Christian Kreuzfeldt, Otto Group
Stream and Batch Processing in One System — Apache Flink’s Streaming Data Flow Engine
Ufuk Celebi, data Artisans
Training: DataSet API Hands-On and FlinkML
Maximilian Michels, data Artisans
Training: DataStream API Hands-On #1
Aljoscha Krettek, data Artisans
Training: DataStream API Hands-On #2
Aljoscha Krettek, data Artisans
Training: FlinkML Hands-On
Maximilian Michels, data Artisans
Training: Gelly School
Vasia Kalavri, KTH
Training: Intro & System Setup
Fabian Hueske, data Artisans
Using Flink with MongoDB to enhance relevancy in personalization
Marc Schwering, MongoDB