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The data Artisans Blog

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

Category: Resources

RBEA: Scalable Real-Time Analytics at King

This is a guest blog post written by Gyula Fóra and Mattias Andersson from King.com. The original post can be found on the King Tech Blog. This blogpost introduces RBEA (Rule-Based Event Aggregator),...

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Extending the Yahoo! Streaming Benchmark

Update December 18, 2017: Nearly 2 years after this initial post, we discussed the Yahoo streaming benchmark in another blog post where we cover some of the issues we see with modern benchmarking met...

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How Apache Flink™ Enables New Streaming Applications, Part 1

(For the rest of this series, see part 2 here and part 3 here)Stream data processing is booming in popularity, as it promises better insights from fresher data, as well as a radically simplified pipe...

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How we selected Apache Flink™ as our Stream Processing Framework at the Otto Group Business Intelligence Department

This is a guest post written by Christian Kreutzfeldt (@mnxfst) and Alexander Kolb (@lofifnc) from the Otto Group Business Intelligence Department....

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Kafka + Flink: A Practical, How-To Guide

A very common use case for Apache Flink™ is stream data movement and analytics. More often than not, the data streams are ingested from Apache Kafka, a system that provides durability and pub/sub fu...

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High-throughput, low-latency, and exactly-once stream processing with Apache Flink™

The popularity of stream data platforms is skyrocketing. Several companies are transitioning parts of their data infrastructure to a streaming paradigm as a solution to increasing demands for real-tim...

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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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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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