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Big-Data ENGRAMS

Vacancy Recommender Hackaton with Spark

BigData Republic organized a small hackathon for the Big Data course I currently follow at university. The challenge was to build a job recommendation system using real data from one of their clients, RandStad, which is a big employment agency. To my surprise, I ended up with the highest score and went home with a nice book as a prize. I was fully convinced that the score I achieved was very low, and I know for a fact that the road to victory had way less to do with intelligence than with …

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Two notes on the original Google paper

A few days ago Djoerd Hiemstra gave a guest lecture on estimating the size of big data problems, within the context of a Big Data course I am currently following. As a preparation, we read the paper of Sergey Brin and Lawrence Page from 1998 (read it here) where they introduced the anatomy of their search engine called “Google”. We did so in particular because it is interesting to compare their estimations on the size and scalability of Google with the colossus it has become today.

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