Internet of Things (IoT) – Dynamic database solution

Paper instructions: Instructions 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 re-engineered 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 III Lesson).Scenario: Falcon Security wants their customers to be able to view security video footage in real-time and provide customers with the ability to query video footage for viewing.

Choosing a database solution such as MongoDB would allow Falcon Security to store customer video footage in the same database as the metadata.To do this, Falcon Security 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 Falcon Security remain competitive?

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