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Talk

Data Processing and Aggregation Options


Massimo Brignoli - MongoDB Inc
After been a pioneer of the web in italy, leading engineering teams in Virgilio.it and Seat Pagine Gialle, Massimo joined MySQL in 2007 as Master Sales Consultant, helping telecom customers to migrate from legacy databases to more modern scalable solutions. He joined MongoDB in 2013 as Solutions Architect .

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Abstract

MongoDB scales easily to store mass volumes of data. However, when it comes to making sense of it all what options do you have? In this talk, we’ll take a look at 3 different ways of aggregating your data with MongoDB, and determine the reasons why you might choose one way over another. No matter what your big data needs are, you will find out how MongoDB the big data store is evolving to help make sense of your data.

Slide