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The data Artisans Blog

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

Real-time stream processing: The next step for Apache Flink™

This post also appears as a guest post at the Confluent blog. Stream processing is becoming very popular with open source projects like Apache Kafka, Apache Samza, Apache Storm, Apache Spark’s Stre...

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Announcing Google Cloud Dataflow on Flink and easy Flink deployment on Google Cloud

Today, we are pleased to announce a deeper engagement between Google, data Artisans, and the broader Apache Flink™ community to bring easy Flink deployment to Google Cloud Platform, and enable Googl...

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How to factorize a 700 GB matrix with Apache Flink™

This article is a follow-up post to the earlier published article about Computing recommendations at extreme scale with Apache Flink. We discuss how we implemented the alternating least squares (ALS) ...

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Computing Recommendations at Extreme Scale with Apache Flink™

Note: This article is a summary of the more detailed article How to factorize a 700 GB matrix with Apache Flink™.Recommender Systems and Matrix FactorizationRecommender Systems are a very successful...

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Flink becomes a Top-Level Apache Project

The Apache Software Foundation announced Flink as a Top-Level Apache project. Read more in the ASF’s press release. ...

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Data Analysis with Flink: A case study and tutorial

This article is a step-by-step guide to implement a fairly sophisticated data analysis algorithm, end-to-end in Apache Flink. We will use the PageRankalgorithm, an algorithm used for ranking entities ...

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Apache Flink: new kid on the block

Apache Flink (incubating) is a new project undergoing incubation in the Apache Software Foundation. Flink is a new approach to distributed data processing for the Hadoop ecosystem. We believe that Fl...

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