Berlin
Sep 11-13, 2017
Kulturbrauerei
Sep 11-13, 2017
Kulturbrauerei
Flink Forward Berlin, the premier conference on Apache Flink®
Watch the talk recordings here- Kesselhaus
- Maschinenhaus
- Palais Atelier
- Kino 3
08:00 am
08:00 am - 5:00 pm
Check-in
09:00 am
09:00 am - 09:40 am
Keynote: The State of Flink and how to adopt Stream Processing
This Keynote takes place at Kino 3
Stephan Ewen
09:50 am
09:50 am - 10:30 am
Keynote: Taking away customer friction through streaming analytics
This Keynote takes place at Kino 3
Ferd Scheepers
10:30 am
10:30 am - 11:00 am
Coffee Break
11:00 am
11:00 am - 11:40 am
data Artisans Product Announcement
Sponsored Talk
Patrick Lucas
Robert Metzger
11:00 am - 11:40 am
Do I Know You? Real time facial recognition with an Apache stack
Machine Learning
Trevor Grant
11:00 am - 11:40 am
Parameter Server on Flink, an approach for model-parallel machine learning
Machine Learning
Dániel Berecz
Gábor Hermann
11:50 am
11:50 am - 12:10 pm
Adding Python Streaming APIs in Flink
Ecosystem
Zohar Mizrahi
11:50 am - 12:10 pm
Deploying Flink Jobs as Docker Containers
Technology
Dominik Bruhn
11:50 am - 12:10 pm
Large Scale Stream Processing with Blink SQL at Alibaba
Applications
Shaoxuan Wang
12:20 pm
12:20 pm - 1:00 pm
From Flink 1.3 to 1.4
Technology
Till Rohrmann
12:20 pm - 1:00 pm
Drivetribe’s Kappa Architecture With Apache Flink®
Applications
Aris Kyriakos Koliopoulos
12:20 pm - 1:00 pm
Using Queryable State to update ML Algorithms per datapoint for Online Gaming
Machine Learning
Vincent Warmerdam
Fokko Driesprong
1:00 pm
1:00 pm - 2:00 pm
Lunch
2:00 pm
2:00 pm - 2:20 pm
Introducing FlinkML
Machine Learning
Boris Lublinsky
Stavros Kontopoulos
2:00 pm - 2:20 pm
I²: Interactive Real-Time Visualization for Streaming Data with Apache Flink and Apache Zeppelin
Research
Jonas Traub
Philipp Grulich
2:00 pm - 2:20 pm
Building a network stack for optimal throughput / low-latency trade-offs
Technology
Nico Kruber
2:30 pm
2:30 pm - 3:10 pm
Custom, Complex Windows at Scale using Apache Flink
Ecosystem
Matt Zimmer
2:30 pm - 3:10 pm
Complex Event Processing with Flink: the state of FlinkCEP
Ecosystem
Kostas Kloudas
2:30 pm - 3:10 pm
Extending Apache Flink stream processing with Apache Samoa machine learning methods
Machine Learning
Piotr Wawrzyniak
3:20 pm
3:20 pm - 4:00 pm
Keep it going — How to reliably and efficiently operate Apache Flink
Technology
Robert Metzger
3:20 pm - 4:00 pm
Large Scale User Behavior Analytics by Flink
Ecosystem
Hao Wu
3:20 pm - 4:00 pm
“Hit me, baby, just one time” – Building End-to-End Exactly-Once Applications with Flink
Technology
Piotr Nowojski
4:00 pm
4:00 pm - 4:30 pm
Coffee Break
4:30 pm
4:30 pm - 5:10 pm
Managing State in Apache Flink
Technology
Tzu-Li (Gordon) Tai
4:30 pm - 5:10 pm
Flink-JPMML: An open source Flink library for Streaming Machine Learning Model Serving
Applications
Andrea Spina
Francesco Frontera
4:30 pm - 5:10 pm
The Approximate Filter, Join, and GroupBy
Machine Learning
David Rodriguez
5:20 pm
5:20 pm - 6:00 pm
Building and operating large-scale streaming applications at King
Applications
Gyula Fora
5:20 pm - 6:00 pm
Cypher-based Graph Pattern Matching in Apache Flink
Ecosystem
Max Kießling
Martin Junghanns
5:20 pm - 6:00 pm
Moving Beyond Moving Bytes
Ecosystem
Joey Frazee
Suneel Marthi
6:00 pm
6:00 pm - 11:00 pm