Day 1 – October 12


Kesselhaus

Maschinenhaus

Moonlounge

08:00 - 9:00
Registration & breakfast

9:00 - 10:00

Apache Flink: from incubation to Flink 1.0 (Kesselhaus)

Kostas Tzoumas, data Artisans - Stephan Ewen, data Artisans

10:00 - 10:30

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


10:30-11:00
Coffee break

Kesselhaus
11:00 - 11:40

Everyday Flink

Michael Häusler, ResearchGate

Kesselhaus
11:45 - 12:25

Real-time data integration with Flink & Apache Kafka at Bouygues Telecom

Mohamed Amine Abdessemed, Bouygues Telecom

Maschinenhaus
11:00 - 11:40

Apache Flink cluster deployment on Docker using Docker-Compose

Romeo Kienzler, IBM - Simon Laws, Emerging Technology

Maschinenhaus
11:45 - 12:25

Declarative Machine Learning with the Samsara DSL

Sebastian Schelter, TU Berlin

Moonlounge
11:00 - 12:30

Training: Intro & System Setup

Fabian Hueske, data Artisans


12:30 - 14:00
Lunch

Kesselhaus
14:00 - 14:40

Implementing Streaming Decision Tree Using Approximative Algorithms in Flink

Anwar Rizal, Amadeus

Kesselhaus
14:45 - 15:25

Automatic Detection of Web Trackers at Telefonica Research

Vasia Kalavri, KTH

Maschinenhaus
14:00 - 14:40

Apache SAMOA: Mining Big Data Streams with Apache Flink

Albert Bifet, Huawei

Maschinenhaus
14:45 - 15:25

Data science lifecycle with Apache Flink and Apache Zeppelin

Moon soo Lee, NFLabs

Moonlounge
14:00 - 15:25

Training: DataStream API Hands-On #1

Aljoscha Krettek, data Artisans


15:30 - 16:00
Coffee break

Kesselhaus
16:00 - 16:40

Flink and Spark: Similarities and Differences

Slim Baltagi, Capital One

Kesselhaus
16:45 - 17:25

Applying Kappa architecture in the telecom industry

Ignacio Mulas Viela, Ericsson

Kesselhaus
17:30 - 18:10

Static vs Dynamic Stream Processing

Christian Kreuzfeldt, Otto Group

Maschinenhaus
16:00 - 16:40

BigPetStore: A comprehensive blueprint for Apache Flink

Suneel Marthi, RedHat

Maschinenhaus
16:45 - 17:25

Cascading on Apache Flink

Fabian Hueske, data Artisans

Maschinenhaus
17:30 - 18:10

Using Flink with MongoDB to enhance relevancy in personalization

Marc Schwering, MongoDB

Moonlounge
16:00 - 18:10

Training: DataStream API Hands-On #2

Aljoscha Krettek, data Artisans


18:30 - 20:00
Dinner

20:00 - 24:00
FlinkFest! - sounds by David Koeper and Albita Por Favor

Day 2 – October 13


Kesselhaus

Maschinenhaus

Moonlounge


10:30-11:00
Coffee break

Kesselhaus
11:00 - 11:40

Flink – a convenient abstraction layer for YARN?

Vyacheslav Zholudev, ResearchGate

Kesselhaus
11:45 - 12:25

Flink? Yet another streaming framework?

Alexander Kolb, Otto Group

Maschinenhaus
11:00 - 11:40

A tale of Squirrels and Storms

Matthias Sax, HU Berlin

Maschinenhaus
11:45 - 12:25

Google Cloud Dataflow on top of Apache Flink

Maximilian Michels, data Artisans

Moonlounge
11:00 - 12:25

Training: DataSet API Hands-On and FlinkML

Maximilian Michels, data Artisans


12:30 - 14:00
Lunch

Kesselhaus
14:00 - 14:40

Beyond MapReduce, Scientific data processing in real-time

Christopher Hillman, University of Dundee

Kesselhaus
14:45 - 15:25

Procedural Programming vs. Data Flow

Mikio Braun, Zalando

Maschinenhaus
14:00 - 14:40

Stream and Batch Processing in One System — Apache Flink’s Streaming Data Flow Engine

Ufuk Celebi, data Artisans

Maschinenhaus
14:45 - 15:25

Juggling with Bits and Bytes – How Apache Flink operates on binary data

Fabian Hueske, data Artisans

Moonlounge
14:00 - 15:25

Training: Gelly School

Vasia Kalavri, KTH


15:30 - 16:00
Coffee break

Kesselhaus
16:00 - 16:40

A comparative performance evaluation of Flink

Dongwon Kim, POSTECH

Kesselhaus
16:45 - 17:25

Gradoop: Scalable Graph Analytics with Apache Flink

Martin Junghanns, University of Leipzig

Kesselhaus
17:30 - 18:10

Stale Synchronous Parallel Iterations on Flink

Nam-Luc Tran, EURANOVA

Maschinenhaus
16:00 - 16:30

Stateful Stream processing

Marton Balassi, Hungarian Academy of Sciences

Maschinenhaus
16:35 - 17:05

Fault Tolerance and Recovery of Flink Jobs

Till Rohrmann, data Artisans

Maschinenhaus
17:10 - 17:40

Notions of Time – How Apache Flink Handles Time and Windows

Aljoscha Krettek, data Artisans

Maschinenhaus
17:45 - 18:15

Real Time Analytics at Scale – Smart Data Pipes for the Internet of Things

Assaf Araki, Intel

Moonlounge
16:00 - 16:40

Interactive Flink Analytics with Hopsworks and Apache Zeppelin

Jim Dowling, SICS

Moonlounge
16:45 - 17:25

Karamel – Reproducing distributed systems and experiments on cloud

Kamal Hakimzadeh, KTH

Moonlounge
17:30 - 18:10

A Semantic Big Data Companion

Stefano Bortoli, OKKAM - Flavio Pompermaier, OKKAM


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