Flink Forward 2016: Maximilian Michels - Flink and Beam: Current State & Roadmap
Flink Forward 2015: Maximilian Michels – Training DataSet API Hands On and FlinkML
Beam on Flink: How does it actually work? - Maximilian Michels
Universal Machine Learning with Apache Beam - Maximilian Michels & Robert Bradshaw
Flink Forward 2016: Zoltán Zvara - Advanced visualization of Flink and Spark jobs
Flink Forward 2016 - Matthias Kricke, Martin Grimmer, Michael Schmeißer – Building a real time...
Flink Forward 2016: Till Rohrmann - Dynamic Scaling - How Apache Flink adapts to changing workloads
Flink Forward 2016: Fabian Hueske - Taking a look under the hood of Apache Flink’s relational APIs
Flink Forward 2016: Aljoscha Krettek - The Future of Apache Flink
Flink Batch Basics Presentation
Flink Forward 2016: Kenneth Knowles - Apache Beam: A Unified Model for...
Extending Flink state serialization for better performance and smaller checkpoint size - Grebennikov
Flink Forward 2016: Márton Balassi - Streaming ML with Flink
Flink Forward 2016: Sanjar Akhmedov - Joining Infinity: Windowless Stream Processing with Flink
Introduction to Flink Streaming
One SQL to Rule Them All - Fabian Hueske
reactive.community: Apache Flink: A Quick Guide to the Next Generation Stream Processing Platform
Practical Experience running Flink in Production - Shuyi Chen & Rong Rong
Feeding a Squirrel in Time - Windows in Flink - inovex Meetups
Flink Forward SF 2017: Eron Wright - Introducing Flink TensorFlow
