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The data Artisans Blog

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

Author: Stephan Ewen

Introducing dA Platform 2: Stateful Stream Processing Powered by Apache Flink® Made Easier for Everyone

For more than three years, data Artisans has been working closely with the teams who manage some of the largest stream processing deployments in the world, including Apache Flink® deployments at glob...

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Streaming SQL in Apache Flink, KSQL, and Stream Processing for Everyone

If you read our blog, you’ve likely seen this week’s news that Confluent shared an early version of its new offering KSQL, streaming SQL for Apache Kafka.The data Artisans team and Apache Flink co...

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On Designing a Stream Processing Benchmark

There comes a time in the life of every stream processing project when its contributors must decide, “Are we here to solve previously-unsolvable production problems for our users, or are we here to ...

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Apache Flink and Apache Kafka Streams

This blog post is written jointly by Stephan Ewen, CTO of data Artisans, and Neha Narkhede, CTO of Confluent. You can also find this post at the Confluent blog. The open source stream processing space...

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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 pipe...

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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 entities ...

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