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The data Artisans Blog

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

Category: Flink Features

Continuous Queries on Dynamic Tables: Analyzing Data Streams with SQL

Xiaowei Jiang is a Senior Director in Alibaba’s Search Infrastructure division, and Shaoxuan Wang is a Senior Manager in Alibaba’s Search Infrastructure division. Fabian Hueske (@fhueske) is ...

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From Streams to Tables and Back Again: An Update on Apache Flink’s Table & SQL API

Timo Walther (@twalthr) is a software engineer at data Artisans and an Apache Flink® committer and PMC member. This post originally appeared on the Apache Flink blog. It was reproduced here under th...

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Queryable State in Apache Flink® 1.2.0: An Overview & Demo

Ufuk Celebi (@iamuce) is a co-founder and software engineer at data Artisans.  2016 was the year that stateful, event-time, and event-at-a-time stream processing arrived as the paradigm for high-thro...

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Running Apache Flink® Everywhere: Flink on DC/OS and Apache Mesos

Till Rohrmann (@stsffap) is an Engineering Lead at data Artisans. This post also appeared on the DC/OS blog. Thanks to Jörg Schad, Judith Malnick, and Ravi Yadav from Mesosphere for their help with ...

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Apache Flink® Community Announces 1.2.0 Release

On Monday, February 6, the Apache Flink® community announced the project’s 1.2.0 release. We at data Artisans would like to extend a sincere thanks to the 122 members of the Flink community who co...

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Apache Flink® User Survey 2016 Results, Part 1

(You can find part 2 here) At the end of 2016, data Artisans organized the first-ever Apache Flink® user survey in order to better understand Flink usage in the community, asking for feedback about...

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Savepoints, Part 2: Streaming Applications in the Pit Lane

By Fabian Hueske (@fhueske) and Mike Winters (@wints) Last month, we gave a high-level overview of Apache Flink® savepoints and touched on why and how you’d reprocess data in a streaming applicatio...

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Savepoints: Turning Back Time

This post is the first in a series where the data Artisans team will highlight some of Apache Flink’s® core features. By Fabian Hueske (@fhueske) and Mike Winters (@wints) Stream processing is comm...

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Robust Stream Processing with Apache Flink®: A Simple Walkthrough

Jamie Grier, Director of Applications Engineering at data Artisans, gave an in-depth Apache Flink® demonstration at OSCON 2016 in Austin, TX. A recording is available on YouTube if you’d like to se...

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Extending the Yahoo! Streaming Benchmark

Until very recently, I’ve been working at Twitter and focusing primarily on stream processing systems. While researching the current state-of-the-art in stateful streaming systems I came across Apac...

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