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The data Artisans Blog

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

Category: Resources

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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Complex Event Generation for Business Process Monitoring using Apache Flink®

This is a guest post by Hung Chang & Mihail Vieru of Zalando. It originally appeared on the Zalando Technology Blog and was reposted here with permission. While developing Zalando’s real-time busi...

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Dynamically Configured Stream Processing: How BetterCloud Built an Alerting System with Apache Flink®

Many Apache Flink® users are building applications for alerting or anomaly detection, and ING and Mux are two such examples from the most recent Flink Forward conference. Today, we’ll highlight the...

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data Artisans – Mesosphere Webinar + Live Q&A: April 25 at 10am Pacific Time

Jamie Grier, data Artisans’ Director of Applications Engineering, will co-host a webinar with members of the Mesosphere team on April 25, 2017, at 10am Pacific Time. You can register here. We hope y...

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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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Drivetribe’s Modern Take On CQRS With Apache Flink®

This is a guest post from Aris Koliopoulos, a senior software engineer at London-based Drivetribe. Drivetribe is the world’s digital hub for motoring. The platform was created by former Top Gear pre...

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Stream Processing Myths Debunked

By @kostas_tzoumas and @wints Needless to say, we here at data Artisans spend a lot of time thinking about stream processing. Even cooler: we spend a lot of time helping others think about stream pro...

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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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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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