Flink Forward is the conference dedicated to Apache Flink and the stream processing community.
We return for Flink Forward Global, October 19-22, 2020.
After a very successful Virtual Flink Forward in April, we have decided to present our October edition in the same way with two additional training days on October 19-20. The two-day conference will be free to attend and the training pricing is now online!
The Apache Flink community is growing and so is the conference, the virtual event in April had over 1300 registrations, from DevOps engineers, system/data architects, data scientists, Flink core committers and users to share their exciting use cases, best practices, and to connect with other members of the stream processing community.
Keep watching this space for more information about Flink Forward Global!
Sponsors
Speakers
Niels Basjes (1971) has been working for bol.com since May 2008. Before that he was working as a Webanalytics architect for Moniforce, and as an IT architect/researcher at the National Aerospace Laboratory in Amsterdam.
Since the second half of the 1990s he has been working on processing problems that require scalability. He has applied these concepts in the past 15 years in aircraft/runway planning, IT operations and in the field of web analytics to build reports for some of the biggest websites in the Netherlands.
Also at bol.com the primary focus of Niels Basjes are scalability problems and he is responsible for a shift in thinking about data and the business value it contains. Niels designed and implemented many of the personalisation algorithms that are in production today at bol.com.
Niels studied Computer Science at the TU Delft, and has Business administration degree at Nyenrode University.
Niels is an active opensource developer who is one of the Apache Avro PMC members and has authored ( https://github.com/nielsbasjes/ ) and contributed various improvements and bugfixes to projects like Hadoop, HBase, Pig, Flink, Beam and Storm.
Sruthi Sree Kumar is a dual degree master student at the KTH Royal Institute of Technology, Stockholm, and TU Berlin. She is also a research intern at Research Institutes of Sweden (RISE) where her primary focus of work is in distributed data processing systems. She wrote her master thesis on External Streaming State Abstractions and Benchmarking. Her research work is focused on performance improvement of Flink state backend.
Julien has been working with Scala and contributing on various open-source projects for the past 10 years. Since 2018, he is working for Spotify as a Data Engineer in the Data & Insight tribe, building libraries and tooling used in most of Spotify's data pipelines.
Schedule overview
Morning
Afternoon
Evening
Day 1
Monday, Oct 19
Training
Training
Day 2
Tuesday, Oct 20
Training
Training
Day 3
Wednesday, Oct 21
Keynote sessions
Conference
Day 4
Thursday, Oct 22