Annotated Bibliography on "Importance of Big Data to Organizations"

Annotated Bibliography 4 pages (1473 words) Sources: 0

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Big Data Annotated Bibliography

Bayuk, J. (2010). CyberForensics: Understanding Information Security Investigations. Springer.

Bayuk (2010) in his book presents the computer forensic techniques used to curb cyber insecurity. The author analyzes the security investigations used in the development of counter intelligence system against cybercrime. To support the intelligence systems, the author uses different case studies on cyber crime investigations to develop a computer forensic technology that can be used to eliminate cyber crimes in an organization. The book is important for the study because its provides cyber-forensic concepts applicable in conducting cyber security investigations. It also provides expertise of the pioneers of cyber investigations and explores a number of examples from malware and accounting cyber-forensics.

Author Note: Bayuk is an information technology and security management diligent expert in all aspects of cyber security. She has published four books and two compilations on it governance and Infosec.

Tehan, R. (2008). Data Security Breaches: Context and Incident Summaries. Nova Publishers.

Tehan (2008) analyzes different types of security breaches reported across the U.S.A. And the world at large. Tehan (2008) uses different examples such as breaches into the social security, bank accounts and credit cards to show the magnitude of the security breaches in the current global environment. The book is important for the study as it provides insights to the different security breaches and laws developed to oversee security breaches in the U.S. The findings from the book can be used to create meaning of the Big Data to organizations.

Author Note: Tehan is an information research specialist with the Congressional Research Service.

Chawla, N.V., & Davis, D.A. (2013). Bringing Big Data to Personalized Healthcare: A

Patient- Centered Framework. Journal of General Internal Medicine, 28(3), 660

665. doi:10.1007/s11606-013-2455-8

The Big Data is beneficial to the health care organizations as it ensures proper keeping of patient's information, thereby ensuring cost sustainability and enhanced. The Big Data promotes electronic storage of patient's data, and monitoring of the patient's outcomes hence, promotion of the patient-centered provision of healthcare. According to the authors, the data-driven and network driven frames of thinking promotes the provision of personalized care. The approaches of the Big Data facilitate the creation of the personalized disease risk profile and disease management plan alongside a wellness plan for a patient. The authors strengthen the applicability of the Big Data in the provision of the patient-centered care that, it provides the health care providers with a collaborative filtering technology that facilitates the provision of accurate care to the patient. The authors used different techniques of enhancing personalized care like the APACHE III. The method enhances the comparative analysis of the Big Data in promoting the provision of personalized care to patients. The study is significant as it shows the diversified nature of the uses of the Big Data across different organizations. The approaches used by the authors provide insights to the practicability of the technology in facilitating the provision of patient-centered care.

Author Notes: Chalwa and Davis work with the Department of Computer Science and Engineering, the University of Notre Dame, USA. Little information is provided on their publications on science related issues.

Zaslavsky, a., Perera, C., & Georgakopoulos, D. (2013). Sensing as a Service and Big Data.

arXiv:1301.0159 [cs]. Retrieved from http://arxiv.org/abs/1301.0159

Zaslavsky, Perera, and Georgakopoulos (2013) illuminate light into the benefits of using the Internet of Things (IoT) one of the technologies that facilitate the success of the Big Data. IoT comprises of different devices that promote sensing, communication, compute, and actuate incoming data into the system. The authors support the strengths associated with the IoT by providing some of its features such as regular data collection, sense-compute-actuate (SCA) loops, and intermittent sensing. The authors acknowledge that, the inefficiencies associated with the older techniques of data collection such as capture, storage analysis, search, and virtualization are solvable with the use of the sensing technology (IoT).

They developed strategies such as providing scenarios of different businesses that have adopted the sensing technology of the Big Data to show its benefits. Their most contribution to the study is their approach of explaining the benefits, features, and challenges associated with the sensing technology of the Big Data. While showing the benefits and technology being the sensing technology and model, the also provide insights into its benefits hence, the strength of the article.

Author Notes: The authors of this article appear to have vast knowledge and expertise in sensor technology associated with… READ MORE

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