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The data Artisans Blog

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

Flink Forward San Francisco Preview (part 3 of 6): Apache Flink Use Cases

Hey stream processing squirrels! Last week we shared a preview of the keynotes for the upcoming Flink Forward San Francisco. In this post we highlight the sessions about Apache Flink use cases. Learn ...

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Flink Forward San Francisco Preview (part 2 of 6): Keynotes

In 4 weeks Flink Forward San Francisco will bring together hundreds of developers, DevOps engineers, data scientists, Apache Flink core committers, experts, and users to share their Apache Flink exper...

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Meet the Engineer: Timo Walther

Timo is one of the driving forces behind the SQL efforts in Apache Flink and has been working on Flink since its creation at TU Berlin (even before it became Flink) where he was instrumental in develo...

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Flink Forward San Francisco Preview (part 1 of 6): Apache Flink Use Cases and Applications

Hello stream processing squirrels! We’re happy to announce that the program committee for Flink Forward San Francisco has finalized this year’s sessions. The second edition of Flink Forward SF is ...

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An Overview of End-to-End Exactly-Once Processing in Apache Flink® (with Apache Kafka, too!)

This post is an adaptation of Piotr Nowojski’s presentation from Flink Forward Berlin 2017. You can find the slides and a recording of the presentation on the Flink Forward Berlin website.Apache Fli...

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Apache Flink® Master Branch Monthly: New in Flink in January 2018

Flink’s major version releases occur every few months, and there’s a constant stream of activity as new features are merged to the Flink master branch in between releases. Keeping an eye on what...

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Streaming Data in the Enterprise Hits a Tipping Point: Our 2018 Predictions

On January 18, 2018 Information Management published an article that we contributed about some of our predictions for this year in the big data and analytics space.The key takeaway is that stream proc...

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Managing Large State in Apache Flink®: An Intro to Incremental Checkpointing

Apache Flink was purpose-built for stateful stream processing. Let’s quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous bl...

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Apache Flink® User Survey 2017: A Brief Summary

In November 2017, data Artisans conducted a second-annual Apache Flink user survey. There were a total of 217 responses, and the survey provided of lots of useful insights and feedback about Flink.At ...

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How To Size Your Apache Flink® Cluster: A Back-of-the-Envelope Calculation

A favorite session from Flink Forward Berlin 2017 was Robert Metzger’s “Keep It Going: How to Reliably and Efficiently Operate Apache Flink”. One of the topics that Robert touches on is how to ...

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