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Distributed graphs processing with Pregel

Graphs processing is an important part of data analysis in many domains. But graphs processing is tricky may be tricky since general purpose distributed computing tools are not suited for graphs processing. It is not surprising that an important advancement in the area of distributed graphs processing came from Google that has to process one […]

Graphs processing with Apache Flink

Graphs are everywhere. Internet, maps, and social networks to name just a few are all examples of massive graphs that contains vast amounts of useful information. Since the size of these networks is growing and processing them become more and more ubiquitous, we need better tools to do the job. In this article, I’ll describe […]

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