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Apache Flink, stream processing, event-driven applications, and more.

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by Stephan Ewen December 09, 2015

How Apache Flink™ Enables New Streaming Applications, Part 1

(For the rest of this series, see part 2 here and part 3 here) Stream data processing is booming in popularity, as it promises better insights from fresher data, as well as a radically simplified...

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by Ufuk Celebi August 31, 2015

How Apache Flink™ handles backpressure

People often ask us how Flink deals with backpressure effects. The answer is simple: Flink does not use any sophisticated mechanism, because it does not need one. It gracefully responds to...

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by Kostas Tzoumas August 05, 2015

High-throughput, low-latency, and exactly-once stream processing with Apache Flink™

The popularity of stream data platforms is skyrocketing. Several companies are transitioning parts of their data infrastructure to a streaming paradigm as a solution to increasing demands for...

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by Kostas Tzoumas May 06, 2015

Real-time stream processing: The next step for Apache Flink™

This post also appears as a guest post at the Confluent blog. Stream processing is becoming very popular with open source projects like Apache Kafka, Apache Samza, Apache Storm, Apache Spark’s...

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by Maximilian Michels April 05, 2015

Announcing Google Cloud Dataflow on Flink and easy Flink deployment on Google Cloud

Today, we are pleased to announce a deeper engagement between Google, data Artisans, and the broader Apache Flink™ community to bring easy Flink deployment to Google Cloud Platform, and enable Google...

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by Stephan Ewen November 29, 2014

Data Analysis with Flink: A case study and tutorial

This article is a step-by-step guide to implement a fairly sophisticated data analysis algorithm, end-to-end in Apache Flink. We will use the PageRankalgorithm, an algorithm used for ranking...

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by Kostas Tzoumas October 29, 2014

Apache Flink: new kid on the block

Apache Flink (incubating) is a new project undergoing incubation in the Apache Software Foundation. Flink is a new approach to distributed data processing for the Hadoop ecosystem. We believe that...

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