Why Switching to a More Dynamic Database Structure (NoSQL) Will Meet the Demands of IoT

IoT (Internet of Things) is a system comprising of interconnected digital machines, computing devices, mechanicals, objects, or people provided with unique identifiers (UID) accompanied with the ability to transfer information over networks without necessitating human-to-human interaction or human-to-computer (Whitmore, Agarwal & Da Xu, 2015). Consequently, organizations from different industries have increasingly implemented the use of IoT to facilitate efficiency, enhance customer services, better understand consumer behavior, improve decision making and ultimately increase the business value of an enterprise.  

Reasons why Switching to a more dynamic database structure (NoSQL) will meet the demands of IoT

NoSQL databases are non-existent or far more relaxed data concept constraints. Switching to NoSQL will enable Falcon Security document or store value keys in the databases allowing the systems to maintain any virtual structure it desires within the data elements (Wortmann & Flüchter, 2015). Furthermore, even the firmly defined BigTable-built NoSQL databanks, such as HBase and Cassandra, characteristically allow new pillars to be developed without too many difficulties. The outcome is typically database schema and application changes which do not have to be managed like a sophisticated change unit (Wortmann & Flüchter, 2015). Throughout the model, NoSQL will allow Falcon Security to recapitulate its applications faster and precise. However, some undesirable side effects may arise if the Falcon Security does not manage the data integrity.

Features of MongoDB

MongoDB is an open-source and free cross-platform database program that is document-oriented. Categorised under the NoSQL databank program, MongoDB utilizes schemas with JSON-like documents. The platform offers elite data steadiness and similarly provides information replication and programmed failovers in line with its highlights that are highly accessible (Palattella et al., 2016).  The MongoDB configuration is based on BSON; which is similar to a JSON stockpiling station. Another advantage of utilizing the BSON is that the application allows MongoDB to guide reports and inside documents properties as well as settled records. The app is anticipated to have more speed and size, enabling MongoDB to have high form and examined throughput, which additionally gives MongoDB the JSON Support (Palattella et al., 2016).

How switching to a more dynamic database will give Falcon Security a competitive advantage

NoSQL databases are developed to enable data insertion without predetermined schemas. The feature makes it easy for Falcon Security to undertake significant changes through application in real-time, short of torment concerning service interruptions – implying faster development, more reliable core integration requiring less database administrator time (Gubbi, Buyya, Marusic & Palaniswami, 2013). NoSQL databank, typically supports auto-sharding, denoting that the system automatically and natively spreads data through a random number of servers (Gubbi, Buyya, Marusic & Palaniswami, 2013). During the undertaking, the application does not net the system to be aware of the server pool’s composition. Query and data loads are balanced automatically across servers, but when a server goes down, it can be transparently and quickly replaced without any disruption on the application.

References

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.

Palattella, M. R., Dohler, M., Grieco, A., Rizzo, G., Torsner, J., Engel, T., & Ladid, L. (2016). Internet of things in the 5G era: Enablers, architecture, and business models. IEEE Journal on Selected Areas in Communications, 34(3), 510-527.

Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261-274.

Wortmann, F., & Flüchter, K. (2015). Internet of things. Business & Information Systems Engineering, 57(3), 221-224.