PRESENTATION - June 27, 2018

MongoDB for High Volume Time Series Data Streams

Speaker: Tom Monk, Gabriel Ng, Cameron Javier
Cisco's streaming data applications generate very high volumes of time series data. With the right data modeling and indexing patterns, MongoDB is very well-suited for storing and analyzing this type of data. Come learn the techniques we use to efficiently store and analyze terabytes of time series data using MongoDB.

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