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:
o Provides a brief introduction to IoT.
o 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.
o Introduces some features of the database you chose, whether it is MongoDB, Cassandra, or another database.
o Describes how switching to a more dynamic database will give eHermes a competitive advantage?
The Power of Real-Time Databases: Empowering eHermes in the IoT Era
Introduction to IoT
Definition of IoT: Interconnected network of devices, vehicles, and appliances that collect and exchange data
Examples of IoT applications: Smart homes, wearables, industrial automation, self-driving cars
Growing importance of IoT in various industries, including security surveillance
Meeting the Demands of IoT with a Real-Time Database Solution
Need for reengineering databases to adapt to the changing nature of data in the IoT era
Real-time processing capabilities to manage dynamic workloads
Ability to work with real-time data streaming and big data
Introducing a NoSQL real-time database solution like MongoDB or Cassandra
MongoDB: A Dynamic Database Solution for eHermes
Overview of MongoDB as a NoSQL database solution
Key features of MongoDB:
Document-oriented: Flexible schema allows easy storage and retrieval of video footage and metadata in a single database
Scalability: Ability to handle large amounts of data and high traffic loads
Real-time analytics: Instantaneous processing and analysis of video footage for immediate insights
Horizontal scaling: Seamless expansion of database across multiple servers for increased performance
High availability: Automatic failover and replication ensure uninterrupted access to video footage
The Competitive Advantage of a Dynamic Database Solution
Enhanced operational efficiency:
Real-time access to video footage allows quick decision-making and response to security incidents
Efficient querying capabilities enable personnel to extract relevant information promptly
Improved customer experience:
Real-time monitoring and analysis enable proactive security measures
Customized alerts and notifications based on real-time insights enhance safety and security
Cost-effectiveness:
Consolidation of video footage and metadata in a single database reduces infrastructure and maintenance costs
Scalability ensures the database can accommodate future growth without significant investment
Conclusion
The IoT era demands a reengineering of databases to meet the dynamic needs of real-time data streaming and analytics.
MongoDB, as a NoSQL real-time database solution, offers the necessary features and advantages to empower eHermes in the competitive landscape.
Embracing a more dynamic database structure will position eHermes as a leader in the security industry, with enhanced operational efficiency, improved customer experience, and cost-effectiveness.