MongoDB for High Volume Time Series Data Streams
Presented by Cisco's Tom Monk, Gabriel Ng, and Cameron Javier at MongoDB World 2018. 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.