Falcon Security Streaming and Analytics Demands

Falcon Security Streaming and Analytics Demands

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. 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? 1. Provide a brief introduction to IoT. 2. Present the argument to the Falcon Security CEO that switching to a more dynamic database structure (NoSQL real-time database) will meet the demands of IoT. 3. Introduce some features of the database you chose, whether it is MongoDB, Cassandra, or another database. 4. Describe how switching to a more dynamic database will give Falcon Security a competitive advantage.