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The implementation of the database performs an important part in creating any program. In fact, the database is utilized to store the information with which a software program interacts. Software uses the database all the time to store but also retrieve information as necessary. Relational database management system – RDMS primarily supports the provision of a structure of information called entities as well as helps create a connection between them (Brown, et al., 2016). In general, data bases are key to modelling the appropriate company; they offer space for new features, reduce the redundant data, preserve data integrity as well as provide excellent speed while using the database.

Analysis

One example that I can think of is an Easy Digital Downloads Database, which is poorly implemented. This is a basic e-commerce for the selling of digital files usually. The connection mapping among entities has been inadequately defined as well as thus the database developers have built database architecture depending on the WordPress need (Sreenivasaiah & Kim, 2010). This data comprises primarily of order products, payment records, metadata ordering, as well as they are kept on tables called after the post as well as post table. The designers did not focus on how hard the data in the post table has contributed to an exponential growth in the processing of same information from such a table, which is causing a poor database structure. The outcomes were the database restrictions on people who may access this website as well as also adversely impacted website performance.

Potential Solution

This poor database implementation will be enhanced through the following reconstruction techniques. The first protocol will provide the database with an abstraction layer utilizing backward compatibility methods to enable developers read, write, and retrieve data more easily without externally requiring requests to be sent (Sreenivasaiah & Kim, 2010). Make sure this layer is built slowly and without hurrying. In that scenario, the post table I described before provides an abstraction layer that would allow us execute different queries on data from the post database without having to a write SQL.

References

Brown, R., Lakhani, Z., & Place, P. (2016). Big(ger) Sets: decomposed delta CRDT Sets in Riak. https://doi.org/10.1145/2911151.2911156

Sreenivasaiah, P. K., & Kim, D. H. (2010). Current trends and new challenges of databases and web applications for systems-driven biological research. Frontiers in Physiology1. https://doi.org/10.3389/fphys.2010.00147