Writing Homework Help

Ndelle:

Structured data are data stored in a warehouse that consists of text files of well-Organized information for decision making. The data are pulled out periodically when required for analysis. Because the information is highly organized (usually in tabular formats like excel sheets or SQL databases), it makes it easier to digest and make analytics possible using legacy data mining solutions. On the other hand, Unstructured data consist of streaming data, in an unstructured format stored as audio files, video files or NoSQL databases. Sources are social media platforms, mobile applications, location services, and Internet of Things technologies (King T., 2018).

The benefits of using structured data include greater search visibility, faster indexing, and voice search domination. However, the greatest impact of using any of the data types is information security. According to Gibbs D.L. et al (2014), As health data increasingly move from paper to electronic storage and transmission, they can become more vulnerable to unauthorized disclosure and modification, either accidentally or intentionally. The security threats to healthcare data are increasing for a variety of reasons, including the expanding volume of healthcare data being stored, the proliferation of EHRs interconnected by HIEs, the internet of things (IoT), and the increasing attractiveness of health data to hackers. 

Gibbs D.L., Staggers N., Nelson R. and Hoffman A (2014). Privacy and Security in Health Informatics An Interpersonal Approach. Elsevier. Retrieved from: https://bibliu.com/app/#/view/books/

King T., (2018). Structured Data vs. Unstructured Data; What’s the Difference? Data Management Solution Review. Retrieved from: https://solutionsreview.com/data-management/key-di…

Venessa:

Structured data — regularly classified as quantitative data— is profoundly coordinated and effectively understandable by AI calculations. Created by IBM in 1974, structured query language (SQL) is the programming language used to oversee organized information. By utilizing a social (SQL) data set, business clients can immediately information, look and control organized information. 

Unstructured data, regularly classified as subjective information, can’t be handled and dissected by means of ordinary information instruments and strategies. Since unstructured information doesn’t have a predefined information model, it is best overseen in non-social (NoSQL) data sets. One more way of overseeing unstructured information is to utilize information lakes to protect it in crude structure. 

The significance of unstructured data is quickly expanding. Ongoing projections demonstrate that unstructured information is more than 80% of all undertaking information, while 95% of organizations focus on unstructured information the executives.

According to IBM.com,

“Recent developments in artificial intelligence (AI) and machine learning (ML) are driving the future wave of data, which is enhancing business intelligence and advancing industrial innovation. In particular, the data formats and models covered in this article are helping business users to do the following:

Analyze digital communications for compliance: Pattern recognition and email threading analysis software that can search email and chat data for potential noncompliance.

Track high-volume customer conversations in social media: Text analytics and sentiment analysis that enables monitoring of marketing campaign results and identifying online threats.

Gain new marketing intelligence: ML analytics tools that can quickly cover massive amounts of data to help businesses analyze customer behavior.” (Structured vs. Unstructured Data,2021)

Thanks,

Venessa

Structured vs. Unstructured Data: What’s the Difference? (n.d.). Retrieved from https://www.ibm.com/cloud/blog/structured-vs-unstr…

Margaret:

• “Structured data is sometimes thought of as traditional data, consisting mainly of text files that include very well-organized information. Structured data is stored inside of a data warehouse where it can be pulled for analysis” (King, 2018). It is organized, ready for analysis, and has been used by organizations to make business decisions for years. Unstructured data is a relatively new data type and is commonly from social media, mobile apps, and other internet sources. It lacks an organized structure and requires more skills and specialized tools to work with, making it more challenging for businesses to use. “Since the diversity among unstructured data sources is so prevalent, businesses have much more trouble managing it than they do with old-school structured data. As a result, companies are being challenged in a way they weren’t before, and are having to get creative in order to pull relevant data for analytics” (King, 2018). However, businesses recognize the value of unstructured data and are willing to invest in ways to utilize it. 
• King, T. (2018, March 15). Structured data vs. unstructured data; what’s the difference? Data Management Solutions Review. Retrieved October 22, 2021, from https://solutionsreview.com/data-management/key-differences-between-structured-and-unstructured-data/.