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PDX Big Data Discussion Group



"No talks. You may opt to take up to 60 seconds to complain about Big Data. One paper per month, no obligation to read it."

We'll start by letting anyone who wants to take up to a minute to tell us what they've been doing with data lately.

This month's paper is Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent by Gemulla, Haas, Nijkamp and Sismanis. Read it or don't - the goal is just to have something to start conversations. "Did you read the paper?" will do nicely.

Mention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.