Spark and Machine Learning

July 12, 2018
Presented by MongoDB's Bryan Reinero at MongoDB World 2018. The MongoDB Spark Connector integrates MongoDB and Apache Spark, providing users with the ability to process data in MongoDB with the massive parallelism of Spark. The connector gives users access to Spark's streaming capabilities, machine learning libraries, and interactive processing through the Spark shell, Dataframes and Datasets. We'll take a tour of the connector with a focus on practical use of the connector, and run a demo using unsupervised machine learning algorithms to process data in MongoDB.
Previous Video
Bringing Data to Life with MongoDB Charts
Bringing Data to Life with MongoDB Charts

Presented by MongoDB's Tom Hollander at MongoDB World 2018. MongoDB Charts is a brand new product that lets...

Next Video
MongoDB for High Volume Time Series Data Streams
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...