For decades, relational databases remained essentially unchanged; data was segmented into specific chunks for columns, slots, and repositories, also called structured data. However, in this Internet of Things $($IoT$)$ era, databases need to be reengineered because the very nature of data has changed. Today$$s databases need to be developed with the needs of IoT in mind and have the ability to perform real$-$time processing to manage workloads that are dynamic. For example, relational databases should be able to work with real$-$time data streaming and big data $($an example was presented in the unit lesson$).$

Scenario: eHermes wants their personnel to be able to view security video footage in real$-$time and provide them with the ability to query video footage for viewing. Choosing a database solution such as MongoDB would allow eHermes to store mobile self$-$driving video footage in the same database as the metadata.

To do this, eHermes needs a way to manage the demands of real$-$time data streaming for real$-$time analytics. Conduct some research for a NoSQL database application such as MongoDB or Cassandra that could meet this need. How would switching to a real$-$time database solution help eHermes remain competitive? Create a PowerPoint presentation that does the following:

Provides a brief introduction to IoT.

Presents an argument to the eHermes CEO that switching to a more dynamic database structure $($NoSQL real$-$time database$)$ will meet the demands of IoT.

Introduces some features of the database you chose, whether it is MongoDB, Cassandra, or another database.

Describes how switching to a more dynamic database will give eHermes a competitive advantage?