Spark is a powerful framework for distributed processing of massive datasets. With an interactive shell, machine learning libraries, and in-memory data structures, Spark provides a tool set for high performance advanced analytics. Connecting Spark with MongoDB enables you to achieve sophisticated back-end analytics in combination with the performance of MongoDB. We'll take a look at how these two systems integrate with one another through sample code and demonstrations.
Presentation from Bryan Reneiro, Developer Advocate at MongoDB.