Response 2-2 (CET)

Running head: POORLY IMPLEMENTED DATABASE 1

POORLY IMPLEMENTED DATABASE 4

Poorly Implemented Database

Poor design or developed databases include functions that involve dispersed details through various tables, data inconsistency or confusion, complex and sometimes intrusion efforts; the database often contains unknown data. A badly designed database is slow, unforgiving, and difficult to protect and cannot deal with real-life conditions in which functions are used, whether at home and work (Badia, 2015, pp. 2061-2064).

My workplace is a poorly implemented dataset that I have faced. I worked with a healthcare company where we customized business database recognized as Monster. There were some issues with the Monster files, including such slow stabilization and bad archiving—the useful data vulnerability and termination via the process of normalization. There will be complex internal APIs in the Beast database; there would also be data constructs that generate zero rational knowledge and task concepts. There are several major problems with Monster's files, which tend to be the results of improperly planned production decisions (Malik & Patel, 2016, pp. 178-180).

Other risks have multiple turns in order as the project. Similarly, the code phenomena are contained in the Monster database, where an initial algorithm for computer assault exists. The theoretical alternative is that the company will launch a consumer service on a worldwide level client. Relating the many vendors intentionally appropriate for a week often restores the assessment of this major modification with a low price clarification industrialized by them years earlier. Generally, the database involves updating data contained in a modification to a method expected to be usable as technological changes in the lasting, without undermining the data's design elements. A whole range of software ventures as an owner to systems that were purely despicable in the companies where they operated. The deliberate calculation shifts calculated in the database as a stable matter (Kraleva, Kralev, Sinyagina, & Koprinkova-Hristova, 2018 , pp. 120-124).

References Badia, G. (2015). Multiple databases are needed to search the journal literature on computer science. Evidence Based Library and Information Practice, 10(4), 2059-2071. Retrieved from https://www.researchgate.net/publication/305008759_Multiple_Databases_are_Needed_to_Search_the_Journal_Literature_on_Computer_Science Kraleva, R. S., Kralev, V., Sinyagina, N., & Koprinkova-Hristova, P. (2018 ). Design and analysis of a relational database for behavioral experiments data processing. International Journal of Online Engineering (iJOE), 14(2), 117-132. Retrieved from https://www.researchgate.net/publication/323466947_Design_and_Analysis_of_a_Relational_Database_for_Behavioral_Experiments_Data_Processing Malik, M., & Patel, T. (2016). Database security - Attacks and control methods. International Journal of Information Sciences and Techniques, 6(1/2), 175-183. Retrieved from http://aircconline.com/ijist/V6N2/6216ijist18.pdf