Sandeep Parikh, Solutions Architect, MongoDB
Time series data can be found everywhere around you, from financial markets to social networks to sensors. There are a multitude of sources of time series data but they have some common attributes: large in volume, ordered by time, and primarily aggregated for access. Time series data is a great fit for MongoDB and in this webinar we will take a closer look at how to model time series data in MongoDB by exploring the schema of a tool that has become very popular in the community: MongoDB Management Service (MMS). We'll walk through different schema design considerations and how those impact the features and functionality of MMS and review workload differences across different designs.