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Database issues – identifying causes and solutions

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Database issues – identifying causes and solutions

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Database issues – identifying causes and solutions

We all have that experience of witnessing how the computer can make our life’s journey tough at times. It happens, especially in knowledge workplaces. As a developer, the task given on an already existing code, one can experience various challenges. Usually, one can normally face confusing triggers, functions, constraints, stored processes, tables, columns, values, and views. Once it gets into the notice, there are various ways through which one can overcome the challenges faced by the developers in the knowledge-centric workplaces.

Common problems of database design

There are some common problems in the database design, which include the following factors:

  • Ignorance of the purpose of data: Data is collected and stored so that it can be consumed later. The aim is to retrieve the information in the most efficient way. To accomplish this aspect, the designer of the database should know the representation of data and the way to acquire it (Ishii & Komukai, 2016).
  • Bad Normalization: Database designers might follow the principles and rules for any conflict, and for that, they might generate various layouts of data.
  • Redundancy: Redundant tables and fields are very dangerous for database developers as they needed the logic related to business (Cheng, Liu & Yao, 2017). It is an overhead that can be ignored if the process of normalization is followed properly.
  • Constraints: Referential integrity is one of the most important ways to keep the quality of data in the best of form. If few or no constraints are applied from the stage of design, the integration of data will heavily depend on the logic and ideas related to business.
  • Skipping the benefits of Database Engine features: Ignoring the advantages of DB engine features is one of the bad practices as it can lead to incorrect and unsafe information.
  • Worst Indexing: A table with no index and column used for queries can lead to bad performance on SELECTs (Razzaq al., 2013).
  • Composite Primary Keys: A table with a composite primary key can rise up to a position, where the performance of CRD operation can degrade.

The main aim is to stimulate the mutual exchange of ideas among peers, especially those who are experienced enough in the field of graduate courses. Such courses are sent in a more face to face traditional atmosphere. While evaluating the performance of students, it has been observed that the assignments are not solid. There are various other factors that affect the preparation quality of a student (Davidson & Moss, 2016). The contribution’s content is obviously an important factor. But apart from that, the contribution in the context of the assignment is also very crucial. In the evaluation process, the performance on such an assignment includes the addition of value to the content by giving on-topic content.

Conclusion

Database design is the collaboration of experience and knowledge. The software industries have developed a lot in the past few years. Luckily, there is adequate knowledge present to provide support to database designers to accomplish the best possible result (Davidson & Moss, 2016). There are various guidelines available to help database developers, which will provide the right awareness to get rid of any kind of problems and challenges faced in the workplace.

Reference

Cheng, L., Liu, F., & Yao, D. (2017). Enterprise data breach: causes, challenges, prevention, and future directions. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery7(5), e1211.

Razzaq, A., Hur, A., Ahmad, H. F., & Masood, M. (2013, March). Cyber security: Threats, reasons, challenges, methodologies and state of the art solutions for industrial applications. In 2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS) (pp. 1-6). IEEE.

Ishii, K., & Komukai, T. (2016, September). A comparative legal study on data breaches in Japan, the US, and the UK. In IFIP International Conference on Human Choice and Computers (pp. 86-105). Springer, Cham.

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