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 SQLApril 11, 2017
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 ...
From Streams to Tables and Back Again: An Update on Apache Flink’s Table & SQL APIApril 3, 2017
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...
Queryable State in Apache Flink® 1.2.0: An Overview & DemoMarch 24, 2017
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...
Running Apache Flink® Everywhere: Flink on DC/OS and Apache MesosFebruary 28, 2017
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 ...
Apache Flink® Community Announces 1.2.0 ReleaseFebruary 6, 2017
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...
Apache Flink® User Survey 2016 Results, Part 1January 19, 2017
(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...
Savepoints, Part 2: Streaming Applications in the Pit LaneNovember 16, 2016
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...
Savepoints: Turning Back TimeOctober 14, 2016
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...
Robust Stream Processing with Apache Flink®: A Simple WalkthroughAugust 18, 2016
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...