The dA Platform Blog

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

Flink 0.10: A significant step forward in open source stream processing

November 17, 2015

We are delighted to see that the Apache Flink™ community has announced the availability of Apache Flink™ 0.10. The 0.10 release is one of the largest Flink releases ever, with about 80 individuals resolving more than 400 JIRA issues.

While these...

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Reflections on Flink Forward 2015

October 28, 2015

Flink Forward 2015 was the inaugural conference around the Apache Flink™ community and took place at the beautiful Kulturbrauerei in Berlin, a former brewery turned into a fantastic event space. Overall, we are both delighted and overwhelmed by the...

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How we selected Apache Flink™ as our Stream Processing Framework at the Otto Group Business Intelligence Department

October 06, 2015

This is a guest post written by Christian Kreutzfeldt (@mnxfst) and Alexander Kolb (@lofifnc) from the Otto Group Business Intelligence Department.

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Announcing Cascading on Apache Flink™

September 21, 2015

See also the related announcement at the Cascading blog. 

 

Today we are thrilled to announce the first availability of Cascading on Flink, a result of a community-driven effort that brings together the Cascading and Apache Flink™ communities.

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Batch is a special case of streaming

September 15, 2015

Interested in stream processing? Sign up for Flink Forward 2015, the first conference on Apache Flink™.

In recent blog posts, we introduced what we deem as requirements for systems to classify as stream processors, and followed up with a detailed...

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A look at Flink Forward 2015

September 03, 2015

At data Artisans we are very proud to be part of the organization team behind Flink Forward 2015, the first conference we are organizing around the Apache Flink™ project.

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Kafka + Flink: A Practical, How-To Guide

September 02, 2015

A very common use case for Apache Flink™ is stream data movement and analytics. More often than not, the data streams are ingested from Apache Kafka, a system that provides durability and pub/sub functionality for data streams. Typical installations...

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How Apache Flink™ handles backpressure

August 31, 2015

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 backpressure by virtue of being a pure data streaming...

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

August 05, 2015

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 real-time access to information. Infrastructures based on...

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Stream processing at Bouygues Telecom with Apache Flink™

June 01, 2015

This is a guest post written by Mohamed Amine Abdessemed from Bouygues Telecom

About Bouygues Telecom

Bouygues Telecom is a full-service communication operator (mobile, fixed telephony, TV, Internet, and Cloud computing) and one of the largest...

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