Analytics and Machine Learning with Spark and MongoDB - Bryan Reinero

January 29, 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
Pipeline Power Doing More with MongoDB Aggregation - Asya Kamsky
Pipeline Power Doing More with MongoDB Aggregation - Asya Kamsky

MongoDB Aggregation Language has been getting more powerful and expressive with every release. In this pres...

Next Video
Jumpstart: Building Your First Serverless App with MongoDB - Sig Narvaez
Jumpstart: Building Your First Serverless App with MongoDB - Sig Narvaez

In this presentation, you'll get an introduction to MongoDB by building a simple web app based on the MEAN ...