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Friday, October 20 • 10:00am - 10:50am
Fast Data with Apache Flink at ING - lessons learned from designing and building a large streaming analytics system

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ING is using Apache Flink for creating streaming analytics ('fast data') solutions. We created a platform with Flink, Kafka and Cassandra that offers high-throughput and low-latency, ideally suited for complex and demanding use cases in the international bank such as customer notifications and fraud detection. These use cases require fast data processing and a business rules engine and/or machine learning evaluation system. Integrating these components together in an always-on, distributed architecture can be challenging. In this talk, I'll start with a brief overview of Apache Flink. You'll learn the benefits of Flink, you'll see a benchmark comparison of Flink with other open source streaming solutions (Spark, Samza, Storm, Apex) and learn about the pros and cons of each framework. After the PowerPoint slides, I'll continue with a deep dive and lessons learned from experiences in a production environment.

avatar for Bas Geerdink

Bas Geerdink

IT Manager, ING
Bas Geerdink is a programmer, scientist, and IT manager at ING, where he is responsible for the fast data systems that process and analyze streaming data. Bas has a background in software development, design, and architecture with broad technical experience from C++ to Prolog to... Read More →

Friday October 20, 2017 10:00am - 10:50am CDT
Salon K