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Kafka Summit San Francisco 2017

Streaming platforms at massive scale.

Aug 28, 2017 | San Francisco

Hunter Kelly

Senior Software/Data Engineer, Zalando

Hunter Kelly is a software engineer at Zalando’s Fashion Insights Centre in Dublin, Ireland, where he works on an interesting mix of big data and machine learning projects. He’s a graduate of the University of California at Berkeley, where he pretty much lived in Emacs and spent too much time hacking in elisp. Ever since, he has yearned for a language with the expressive power of Lisp that could actually be used in the real world. Since learning about Clojure in its early days, he has enjoyed exploring how to think about and express problems in it. Before joining Zalando in 2015, he spent years in the trenches working at companies such as Pixar, Google, a few dot booms, and a few dot flops.

Sessions

Real-Time Document Rankings with Kafka Streams

Video & Slides

The HITS algorithm creates a score for documents; one is “hubbiness”, the other is “authority”. Usually this is done as a batch operation, working on all the data at once. However, with careful consideration, this can be implemented in a streaming architecture using KStreams and KTables, allowing efficient real time ... Read More


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