Read the following articles and incorporate them into your paper. You are also encouraged to review additional articles as well.
1. Chen, J.-K., & Lee, W.-Z. (2019). An introduction of NoSQL databases based on their categories and application industries. Algorithms, 12(5), 106. Retrieved from https://doi.org/10.3390/a12050106
2. Georgiou, S., Rizou, S., & Spinellis, D. (2019). Software development lifecycle for energy efficiency: Techniques and tools. ACM Computing Surveys, 52(4), 1–33. Retrieved from https://doi.org/10.1145/3337773
3. Mokokwe, L., Maabane, G., Zambo, D., Ralefala, T., Shulman, L., Ramagola-Masire, D., Tapela, N., Grover, S, & Ho-Foster, A. (2018). First things first: Adopting a holistic, needs-driven approach to improving the quality of routinely collected data. Journal of Global Oncology, 155. Retrieved from https://doi.org/10.1200/jgo.18.68700
4. Shichkina, Y. (2019). Approaches to speed up data processing in relational databases. Procedia Computer Science, 150, 131.
Write a 2–3 page paper in which you:
Recommend at least 3 specific tasks that could be performed to improve the quality of datasets, using the Software Development Life Cycle (SDLC) methodology. Include a thorough description of each activity per each phase.
Recommend the actions that should be performed in order to optimize record selections and to improve database performance from a quantitative data quality assessment.
Suggest 3 maintenance plans and 3 activities that could be performed in order to improve data quality.
Suggest methods that would be efficient for planning proactive concurrency control methods and lock granularities. Assess how your selected method can be used to minimize the database security risks that may occur within a multiuser environment.
Analyze how the method can be used to plan out the system effectively and ensure that the number of transactions does not produce record-level locking while the database is in operation.