MongoDB for Time Series Data Part 2: Analyzing Time Series Data Using the Aggregation Framework and Hadoop

PublishedJune 24, 2014
Host(s)Jay Runkel, MongoDB World 2014, Jake Angerman

Imagine that the United States is beginning to make its transition to self-driving cars. To facilitate the transition, it's necessary to set up central service to monitor traffic conditions nationwide, deploy sensors throughout the interstate system that monitor traffic conditions including car speeds, pavement and weather conditions, as well as accidents, construction, and other sources of traffic tie ups. MongoDB has been selected as the database for this application. In this first session, we will walk through designing the application’s schema that will both support the high update and read volumes as well as the data aggregation and analytics queries.