• Kino 3
  • Kesselhaus
  • Maschinenhaus
  • Palais

09:00

09:00

Keynote: How Can We Take Flink Forward?

09:00 - 09:45

Kino 3

09:45

09:45

Panel: Large Scale Streaming in Production

09:45 - 10:30

Kino 3

10:30

10:30

Coffee Break

10:30 - 11:00

11:00

11:00

Use cases

Evaluating Streaming Framework Performance for a Large-Scale Aggregation Pipeline

11:00 - 11:40

Kesselhaus

Developer

Introducing Flink on Mesos

11:00 - 11:40

Maschinenhaus

11:45

11:45

Applications

AMIDST Toolbox: Scalable probabilistic machine learning with Flink

11:45 - 12:25

Kesselhaus

Developer

Flink Security Enhancements

11:45 - 12:25

Maschinenhaus

Use cases

Flink in genomics: efficient and scalable processing of raw Illumina BCL data

11:45 - 12:25

Palais

12:30

12:30

Lunch Break

12:30 - 14:00

14:00

14:00

Developer, Use cases

Beyond the Watermark: On-Demand Backfilling in Flink

14:00 - 14:40

Kesselhaus

Developer

Connecting Apache Flink to the World: Reviewing the streaming connectors

14:00 - 14:40

Maschinenhaus

Applications

Building a real time Tweet map with Flink in six weeks

14:00 - 14:40

Palais

14:45

14:45

Use cases

Joining Infinity – Windowless Stream Processing with Flink

14:45 - 15:25

Kesselhaus

Developer

Code Generation in Serializers and Comparators of Apache Flink

14:45 - 15:25

Maschinenhaus

Applications

Advanced visualization of Flink and Spark jobs

14:45 - 15:25

Palais

15:30

15:30

Coffee Break

15:30 - 16:00

16:00

16:00

Use cases

Large Scale Social Network Data Collection and Analysis with Apache Flink and Apache Streams

16:00 - 16:40

Kesselhaus

Applications

Multi-tenant Flink-as-a-Service on YARN

16:00 - 16:40

Maschinenhaus

16:45

16:45

Use cases

Flinkspector – Taming the squirrel

16:45 - 17:25

Kesselhaus

Applications

To Petascale and Beyond: Apache Flink in the Clouds

16:45 - 17:25

Maschinenhaus

Applications

Deep Learning with Apache Flink and DL4J

16:45 - 17:25

Palais

17:30

17:30

Closing Session

17:30 - 18:10

Kesselhaus