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The data Artisans Blog

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

Category: Flink Features

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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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 in 2017: Year in Review

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. 2017 was another exciting year for the Apache Flink® community, with 3 major v...

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The Curious Case of the Broken Benchmark: Revisiting Apache Flink® vs. Databricks Runtime

Tl;dr For the past few months, Databricks has been promoting an Apache Spark vs. Apache Flink vs. Apache Kafka Streams benchmark result that shows Spark significantly outperforming the other framework...

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Announcing the Apache Flink 1.4.0 Release

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. The Apache Flink community is pleased to announce the 1.4.0 release. Over the p...

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Looking Ahead to Apache Flink 1.4.0 and 1.5.0

Stephan Ewen (@StephanEwen) is CTO and co-founder at data Artisans and an Apache Flink® committer and PMC member. Aljoscha Krettek (@aljoscha)is a software engineer and co-founder at data Artisans an...

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Complex Event Processing with Flink: An Update on the State of Flink CEP

Modern organizations rely on the timely and efficient processing of their data to make decisions that have a direct impact on the quality of their services and products. Based on user expectations, ti...

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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

Update December 18, 2017: We wrote a follow-up blog post about stream processing benchmarks that goes into more detail about the issues we see with common benchmarking methods. It serves as a useful a...

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Apache Flink® at MediaMath: Rescaling Stateful Applications in Production

This post also appeared on the MediaMath Developer Blog. Every once in awhile, Amazon Web Services experiences a service disruption, and millions of internet users around the globe panic as their fav...

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