Ververica Blog

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

Apache Flink in 2017: Year in Review

January 04, 2018

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. 

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Meet the Engineer: Konstantinos Kloudas

December 20, 2017

This blog post features my colleague, Konstantinos Kloudas, who is a committer on Apache Flink and works in the Berlin office. He usually goes by Kostas, but we call him Klou, because we have a naming conflict in the office. He is not only Greek...

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Second Annual Apache Flink Survey Reveals Enterprises Are “All-In” on Stream Processing: 87 Percent Plan to Deploy More Streaming Apps in 2018

December 19, 2017

Machine Learning (64 percent), Anomaly Detection/System Monitoring (27 percent) and Business Intelligence/Reporting (25 percent) Are Most Popular New Flink ApplicationsBERLIN and SAN FRANCISCO, Dec. 19, 2017 (GLOBE NEWSWIRE) -- Enterprises are...

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The Curious Case of the Broken Benchmark: Revisiting Apache Flink® vs. Databricks Runtime

December 15, 2017

Tl;dr For the past few months, Databricks has been promoting an Apache Spark vs. Apache Flink vs. Apache Kafka Streams benchmark result that shows Spark significantly outperforming the other frameworks in throughput (records / second).We looked...

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Announcing the Apache Flink 1.4.0 Release

December 12, 2017

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. The Apache Flink community is pleased to announce the 1.4.0 release. Over the past 5 months, the Flink community has been...

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Looking Ahead to Apache Flink 1.4.0 and 1.5.0

November 22, 2017

Stephan Ewen () is CTO and co-founder at data Artisans and an Apache Flink® committer and PMC member. Aljoscha Krettek (@aljoscha)is a software engineer and co-founder at data Artisans and is also an Apache Flink® committer and PMC...

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Complex Event Processing with Flink: An Update on the State of Flink CEP

November 08, 2017

Modern organizations rely on the timely and efficient processing of their data to make decisions that have a direct impact on the quality of their services and products. Based on user expectations, timely implies real-time, meaning that data must...

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Announcing the 2017 Apache Flink User Survey: We Need Your Input!

November 07, 2017

data Artisans is excited to announce the second-annual Apache Flink user survey. We’re calling on all members of the Flink and stream processing community to give their input and to help to shape the future of Flink. The survey will take 5-10...

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Meet the Engineer: Till Rohrmann

November 02, 2017

This blog post features my colleague, Till Rohrmann, who works at the data Artisans headquarters in Berlin. He is an early member of the data Artisans team and leads the team working on Flink’s core engine, including its distributed architecture...

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StreamING Machine Learning Models: How ING Adds Fraud Detection Models at Runtime with Apache Flink®

October 25, 2017

Today’s guest author, Erik de Nooij, is an IT Chapter Lead at ING Bank, headquartered in The Netherlands.

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