• Kino 3
  • Kesselhaus
  • Maschinenhaus
  • Palais

09:30

09:30

10:30

10:30

Coffee Break

10:30 - 11:00

11:00

11:00

Developer

The Future of Apache Flink

11:00 - 11:40

Kesselhaus

Use cases

Flink in Zalando’s World of Microservices

11:00 - 11:40

Maschinenhaus

Applications

Streaming SQL

11:00 - 11:40

Palais

11:45

11:45

Developer

Robust Stream Processing with Apache Flink

11:45 - 12:25

Kesselhaus

Use cases

RBEA: Scalable Real-Time Analytics at King

11:45 - 12:25

Maschinenhaus

Applications

Streaming ML with Flink

11:45 - 12:25

Palais

12:30

12:30

Lunch Break

12:30 - 14:00

14:00

14:00

Use cases

Beaming Flink to the Cloud @ Netflix

14:00 - 14:40

Kesselhaus

Developer

Scaling Stream Processing with Apache Flink to very large State

14:00 - 14:40

Maschinenhaus

Applications

Apache Zeppelin: A friendlier way to Flink

14:00 - 14:40

Palais

14:45

14:45

Use cases

Blink – Improvements to Flink and its application in Alibaba Search

14:45 - 15:25

Kesselhaus

Developer

Dynamic scaling: How Apache Flink adapts to changing workloads

14:45 - 15:25

Maschinenhaus

Applications

Faster and Furiouser: Flink Drift

14:45 - 15:25

Palais

15:30

15:30

Coffee Break

15:30 - 16:00

16:00

16:00

Use cases

Large-Scale Anonymization at Telefónica Germany powered by Apache Flink

16:00 - 16:40

Kesselhaus

Developer

The Stream Processor as a Database: Building Online Applications directly on Streams

16:00 - 16:40

Maschinenhaus

Apache Beam

Apache Beam: A Unified Model for Batch and Streaming Data Processing

16:00 - 16:40

Palais

16:45

16:45

Developer

Running Apache Flink everywhere: Standalone, Yarn, Mesos, Docker, Kubernetes, etc.

16:45 - 17:25

Kesselhaus

Developer

Declarative stream processing with StreamSQL and CEP

16:45 - 17:25

Maschinenhaus

Apache Beam

Flink and Beam: Current State & Roadmap

16:45 - 17:25

Palais

17:30

17:30