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recorded at https://www.meetup.com/utrecht-java-user-group/events/305047055/ Introduction to Stateful Stream Processing with ...

... some time to get that process now same application referral application can be created in a apache flink application in that case ...

Managing complex applications such as data processing systems on Kubernetes is a formidable challenge even for the most ...

You were tasked with building a real-time platform, but traditional tools couldn't handle the massive data streams, leading to ...

Reactive Mode will be released (as a beta) with Flink 1.13. This is a short preview.

Interview Question: What is the difference between Apache Spark versus Apache Flink?

The mission of Affirm is to provide honest financial products and services that empower consumers to spend and save responsibly ...

During this presentation, we will be talking about real time streaming evolution by Apache Flink.

Data Streaming using Apache Flink and Apache Ignite Saikat Maitra A presentation from ApacheCon @Home 2020 ...

We all know that the world is constantly changing. Data is continuously produced and thus should be consumed in a similar ...

alexey: Ververica, Solution Architect, I am a Solution Architect working for last the last 6 years on data solutions and products.

Apache Flink has been designed for, and is mostly used with large-scale real-time data processing use-cases. Companies report ...

Introduction to Stream Processing with Apache Flink - Marta Paes, Ververica.

We then demonstrate how Apache Flink is our primary processing framework, using its native Table API to create materialized ...

Calling all developers with a penchant for fine whiskey! Join Dr. Paul King, VP at Apache Groovy, on a quest to analyze whiskeys ...

Streaming applications often face changing resource needs over their lifetime: there might be workload differences during day- ...

Accelerating Big Data Outside of the JVM Adventures with Apache Arrow, Spark, BEAM, Flink, and friends by Holden Karau At: ...

More and more services are running in Kubernetes so it means that we can migrate our current data pipelines to the new ...

Fast data processing is essential for making Lyft rides a good experience for passengers and drivers. Our systems need to track ...