- Kino 3
- Kesselhaus
- Maschinenhaus
- Palais
09:30
09:30
Keynote: The maturing data streaming ecosystem and Apache Flink’s accelerated growth
09:30 - 10:30Kino 3
- Kostas Tzoumas - data Artisans
- Stephan Ewen - data Artisans
10:30
10:30
Coffee Break
10:30 - 11:0011:00
11:00
Developer
The Future of Apache Flink
11:00 - 11:40Kesselhaus
- Aljoscha Krettek - data Artisans
Use cases
Flink in Zalando’s World of Microservices
11:00 - 11:40Maschinenhaus
- Javier Lopez - Zalando
- Mihail Vieru - Zalando
Applications
Streaming SQL
11:00 - 11:40Palais
- Julian Hyde - Hortonworks
11:45
11:45
Developer
Robust Stream Processing with Apache Flink
11:45 - 12:25Kesselhaus
- Jamie Grier - data Artisans
Use cases
RBEA: Scalable Real-Time Analytics at King
11:45 - 12:25Maschinenhaus
- Gyula Fóra - King
Applications
Streaming ML with Flink
11:45 - 12:25Palais
- Márton Balassi - Cloudera
12:30
12:30
Lunch Break
12:30 - 14:0014:00
14:00
Use cases
Beaming Flink to the Cloud @ Netflix
14:00 - 14:40Kesselhaus
- Monal Daxini - Netflix, Inc.
Developer
Scaling Stream Processing with Apache Flink to very large State
14:00 - 14:40Maschinenhaus
- Stephan Ewen - data Artisans
Applications
Apache Zeppelin: A friendlier way to Flink
14:00 - 14:40Palais
- Trevor Grant - IBM
14:45
14:45
Use cases
Blink – Improvements to Flink and its application in Alibaba Search
14:45 - 15:25Kesselhaus
- Xiaowei Jiang - Alibaba
Developer
Dynamic scaling: How Apache Flink adapts to changing workloads
14:45 - 15:25Maschinenhaus
- Till Rohrmann - data Artisans
Applications
Faster and Furiouser: Flink Drift
14:45 - 15:25Palais
- Ted Dunning - MapR Technologies
15:30
15:30
Coffee Break
15:30 - 16:0016:00
16:00
Use cases
Large-Scale Anonymization at Telefónica Germany powered by Apache Flink
16:00 - 16:40Kesselhaus
- Maximilian Bode - TNG Technology Consulting
- Konstantin Knauf - TNG Technology Consulting
Developer
The Stream Processor as a Database: Building Online Applications directly on Streams
16:00 - 16:40Maschinenhaus
- Jamie Grier - data Artisans
Apache Beam
Apache Beam: A Unified Model for Batch and Streaming Data Processing
16:00 - 16:40Palais
- Kenneth Knowles - Google
16:45
16:45
Developer
Running Apache Flink everywhere: Standalone, Yarn, Mesos, Docker, Kubernetes, etc.
16:45 - 17:25Kesselhaus
- Stephan Ewen - data Artisans
Developer
Declarative stream processing with StreamSQL and CEP
16:45 - 17:25Maschinenhaus
- Fabian Hueske - data Artisans
- Till Rohrmann - data Artisans
Apache Beam
Flink and Beam: Current State & Roadmap
16:45 - 17:25Palais
- Maximilian Michels - data Artisans
17:30
17:30
Use cases
A brief history of time with Apache Flink: Real-time monitoring and analysis with Flink, Kafka & HB
17:30 - 18:10Kesselhaus
- Thomas Lamirault - Bouygues Telecom
- Mohamed Amine Abdessemed - Bouygues Telecom
Developer
Taking a look under the hood of Apache Flink’s relational APIs
17:30 - 18:10Maschinenhaus
- Fabian Hueske - data Artisans
Developer, Apache Beam
No shard left behind: Dynamic work rebalancing in Apache Beam
17:30 - 18:10Palais
- Malo Denielou - Google