In this talk, we first explore two big data processing models: map-reduce and Pregel. Then we introduce how we make use of these modes to build Grakn Analytics our powerful tool for big data processing. We will also discuss how we transform common algorithms to their massive parallel versions, so they can take full advantage of Grakn Analytics.
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Big Data Analytics
Jason is a machine learning developer at GRAKN.AI. He designed the Analytics module of GRAKN.AI, and the recommender system for Moogi.co. Jason has a Master’s degree in AI from the University of Edinburgh, and PhD degree in machine learning from University of York.