MongoDB for High Volume Time Series Data Streams

July 12, 2018
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.
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Spark and Machine Learning
Spark and Machine Learning

Presented by MongoDB's Bryan Reinero at MongoDB World 2018. The MongoDB Spark Connector integrates MongoDB ...

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