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Data collection and storage are a necessity in work processes. For example, in the field of medicine, electronic data is providing evidence and method for future objective research in this area (Meltzer et al., 2020, p. 445). Proper documentation simplifies the process of dealing with large amounts of data and helps scientists with research outcomes. Network optimization involves data collection and optimization techniques to develop devices that correspond to the users body shape and heighten customizable features related to human self-identification (Nelson et al., 2019). Such data optimization techniques allow conclusions to be drawn from accurate data.
One essential component of optimized networks is high availability, which means that the network should always be available to its users. One best practice to ensure high availability is to avoid single points of failure (uCertify, 2019). This is usually done by establishing redundant network infrastructure components, such as routers and switches, which are interconnected with redundant links. This best practice ensures that if a failure occurs at some point in the network, the whole network continues to be available to users. Another best practice for network optimization is examining technical goals and establishing performance and measurement standards (uCertify, 2019). These measures are essential because, without them, it is impossible to develop effective improvement strategies and decide what modifications should be implemented.
Regarding security pitfalls, a lack of network security may lead to confidentiality breaches and data loss. One common security threat is network attacks, which can occur even in large corporations (uCertify, 2019). In order to prevent them, it is necessary to update knowledge in cyber-security. In this situation, to achieve maximum storage security, specialists need to monitor the status of the network and be careful about keeping records. Confidentiality is another security pitfall, which can be addressed by encryption and network-security mechanisms, such as firewalls (uCertify, 2019). Addressing this pitfall is vital because, if not tackled, confidentiality breaches can occur, resulting in third parties gaining access to sensitive information.
In conclusion, network optimization is essential in different areas, including business, healthcare, and other fields. The purpose of network optimization is to allow for easy and uninterrupted data flow within the network. Ensuring high availability and establishing measurement and performance standards are best practices in network optimization. Networks are also associated with security pitfalls, such as possible confidentiality breaches, which need to be addressed to prevent losses.
References
Meltzer, A. J., Hallbeck, M. S., Morrow, M. M., Lowndes, B. R., Davila, V. J., Stone, W. M., & Money, S. R. (2020). Measuring ergonomic risk in operating surgeons by using wearable technology. JAMA Surgery, 155(5), 444446. Web.
Nelson, E. C., Verhagen, T., Vollenbroek-Hutten, M., & Noordzij, M. L. (2019). Is wearable technology becoming part of us? Developing and validating a measurement scale for wearable technology embodiment. JMIR mHealth uHealth, 7(8), 12771. Web.
uCertify. (2019). CompTIA Network+ Pearson N10-007. uCertify.
Do you need this or any other assignment done for you from scratch?
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