Berlin
Sep 11-13, 2017
Kulturbrauerei
Sep 11-13, 2017
Kulturbrauerei
Flink Forward Berlin, the premier conference on Apache Flink®
Watch the talk recordings hereSCHEDULE
- Kesselhaus
- Maschinenhaus
- Palais Atelier
- Kino 3
08:00 am
08:00 am - 5:00 pm
Check-in
08:30 am
08:30 am - 5:30 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
09:00 am - 4:30 pm
Check-in
09:30 am
09:30 am - 10:30 am
Keynote: Bring Flink to Large Scale Production
Applications
This Keynote takes place at Kino 3
This Keynote takes place at Kino 3
Xiaowei Jiang
09:30 am - 10:00 am
Advanced Training – Setup
Flink Training
09:30 am - 10:00 am
Standard Training – Setup
Flink Training
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
10:00 am
10:00 am - 11:15 am
Advanced API topics with Q&A: watermarks, windows, async i/o, queryable state, and more
Flink Training
Aljoscha Krettek
10:00 am - 11:15 am
Intro to Flink and the DataStream API
Flink Training
Timo Walther
10:30 am
10:30 am - 11:00 am
Coffee Break
10:30 am - 11:00 am
Coffee Break
11:00 am
11:00 am - 11:40 am
Unified stream and batch processing with Apache Flink’s relational APIs
Technology
Fabian Hueske
11:00 am - 11:40 am
data Artisans Product Announcement
Sponsored Talk
Patrick Lucas
Robert Metzger
11:00 am - 11:40 am
Predictive Maintenance with Apache Flink
Applications
Machine Learning
Machine Learning
Dongwon Kim
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 pm
Build a Real-time Stream Processing Pipeline with Apache Flink on AWS
Ecosystem
Steffen Hausmann
11:00 am - 11:40 am
Parameter Server on Flink, an approach for model-parallel machine learning
Machine Learning
Dániel Berecz
Gábor Hermann
11:15 am
11:15 am - 11:45 am
Coffee Break
11:45 am
11:45 am - 1:00 pm
Table API and hands-on exercise
Flink Training
Fabian Hueske
11:45 am - 12:30 pm
Hands-on
Flink Training
11:50 am
11:50 am - 12:10 pm
From Streams to Tables and Back Again: A Demo of Flink’s Table & SQL API
Technology
Timo Walther
11:50 am - 12:10 pm
Adding Python Streaming APIs in Flink
Ecosystem
Zohar Mizrahi
11:50 am - 12:10 pm
A Materialization Engine for Data Integration with Flink
Applications
Mihail Vieru
11:50 am - 12:10 pm
Deploying Flink Jobs as Docker Containers
Technology
Dominik Bruhn
11:50 am - 12:10 pm
Flink-Kudu connector: an open source contribution to develop Kappa architectures
Community
Rubén Casado Tejedor
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
Apache Flink meets Apache Mesos and DC/OS
Ecosystem
Till Rohrmann
Jörg Schad
12:20 pm - 1:00 pm
From Flink 1.3 to 1.4
Technology
Till Rohrmann
12:20 pm - 1:00 pm
A look at Flink’s internal data structures and algorithms for efficient checkpointing
Technology
Stefan Richter
12:20 pm - 1:00 pm
Drivetribe’s Kappa Architecture With Apache Flink®
Applications
Aris Kyriakos Koliopoulos
12:20 pm - 1:00 pm
Migration of a realtime stats product from Storm to Flink
Applications
Patrick Gunia
12:20 pm - 1:00 pm
Using Queryable State to update ML Algorithms per datapoint for Online Gaming
Machine Learning
Vincent Warmerdam
Fokko Driesprong
12:30 pm
12:30 pm - 1:00 pm
Time and watermarks, stateful stream processing, ProcessFunction
Flink Training
David Anderson
1:00 pm
2:00 pm
2:00 pm - 2:20 pm
Efficiently executing R Dataframes on Flink
Research
Andreas Kunft
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
Looking for patterns with Flink CEP library
Technology
Dawid Wysakowicz
2:00 pm - 2:20 pm
Building a network stack for optimal throughput / low-latency trade-offs
Technology
Nico Kruber
2:00 pm - 2:20 pm
Tink, a temporal graph analytics library for Apache Flink
Ecosystem
Wouter Ligtenberg
2:00 pm - 3:00 pm
Operational topics with Q&A: deployment and tuning, state backends, serialization
Flink Training
Robert Metzger
2:00 pm - 2:50 pm
Hands-on exercise
Flink Training
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
Connecting Apache Flink and the Pravega Stream Store
Ecosystem
Flavio Junqueira
Stephan Ewen
2:30 pm - 3:10 pm
Complex Event Processing with Flink: the state of FlinkCEP
Ecosystem
Kostas Kloudas
2:30 pm - 3:10 pm
NSDB (Natural Series DB) – A time series streaming oriented database optimized for the serving layer
Ecosystem
Sponsored Talk
Sponsored Talk
Roberto Bentivoglio
Saverio Veltri
2:30 pm - 3:10 pm
Extending Apache Flink stream processing with Apache Samoa machine learning methods
Machine Learning
Piotr Wawrzyniak
2:30 pm - 3:10 pm
Time-Based Aggregates: The Good, the Bad and the Ugly
Applications
Frank Lauterwald
2:50 pm
2:50 pm - 3:30 pm
Connectors, fault tolerance, checkpointing, storage backends
Flink Training
Tzu-Li (Gordon) Tai
3:00 pm
3:00 pm - 3:30 pm
Metrics and Monitoring
Flink Training
Chesnay Schepler
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
Fast Data at ING – building a streaming data platform with Flink and Kafka
Applications
Martijn Visser
Bas Geerdink
3:20 pm - 4:00 pm
Large Scale User Behavior Analytics by Flink
Ecosystem
Hao Wu
3:20 pm - 4:00 pm
Flink in Containerland
Technology
Patrick Lucas
3:20 pm - 4:00 pm
“Hit me, baby, just one time” – Building End-to-End Exactly-Once Applications with Flink
Technology
Piotr Nowojski
3:20 pm - 4:00 pm
TouK Nussknacker – creating Flink jobs with GUI
Ecosystem
Maciek Próchniak
3:30 pm
3:30 pm - 4:00 pm
Coffee Break
4:00 pm
4:00 pm - 5:00 pm
CEP library and hands-on exercise
Flink Training
Kostas Kloudas
4:00 pm - 4:15 pm
Hands-on exercise
Flink Training
4:00 pm - 4:30 pm
Coffee Break
4:00 pm - 4:30 pm
Coffee Break
4:15 pm
4:15 pm - 4:35 pm
Windows and window state, aggregation
Flink Training
Tzu-Li (Gordon) Tai
4:30 pm
4:30 pm - 5:10 pm
Huawei Cloud Stream Service in practice
Dr. Radu Tudoran
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
4:30 pm - 5:10 pm
Talk Python To Me: Stream Processing in your favorite language with Beam on Flink
Technology
Aljoscha Krettek
4:35 pm
4:35 pm - 5:15 pm
Hands-on exercise
Flink Training
5:00 pm
5:00 pm - 5:30 pm
Looking beyond Flink 1.3
Flink Training
Till Rohrmann
5:15 pm
5:15 pm - 5:30 pm
Wrap-up
Flink Training
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 - 5:40 pm
StreamApprox: Approximate Stream Analytics in Apache Flink
Research
Pramod Bhatotia
Do Le Quoc
5:20 pm - 5:40 pm
Integrating Flink and Kafka in the standard genomics pipeline
Applications
Francesco Versaci
5:20 pm - 6:00 pm
Moving Beyond Moving Bytes
Ecosystem
Joey Frazee
Suneel Marthi
5:40 pm
5:40 pm - 6:00 pm
Closing Session
6:00 pm
6:00 pm - 11:00 pm