Building a data service to support IoT load is particularly tricky as these system must provide high availability and scale out out predictably. However, ability to perform analytics on the inbound dataset is an additional requirement discussed less often. The ubiquity of networked devices has provided a rich and broad dataset which provides new opportunities to enhance user engagement via analytics. This talk will examine the use of MongoDB to service high IoT workloads, while assuring high availability and integration with analytics frameworks such as Spark and Hadoop. This includes database architecture, schema design, document models and connecting to Spark/Hadoop.
Learn how other organizations are using MongoDB to power the Internet of Things.