External link to The Role of a System Analyst

The Role of a System Analyst

select a specific activity or responsibility of the systems analyst. Define the purpose of the systems analyst and why it is important in the overall systems analysis process. Write this post to an audience of IT specialists. Use proper technical terms and language. Research the topic further using scholarly sources as needed to create a complete technical definition. Review job postings in addition to other […]

External link to Block Chain

Block Chain

The vast majority of the population associates Blockchain with cryptocurrency Bitcoin; however, there are many other uses of blockchain; such as Litecoin, Ether, and other currencies. In this discussion, please describe at least two cryptocurrencies with applicable examples. Discuss some similarities and differences. Lastly, discuss if you have any experience using any cryptocurrencies.

External link to Writing Assignment : Evidence Collection Policy

Writing Assignment : Evidence Collection Policy

 Research approaches to Evidence Collection and write a high-level procedure guide. Write 300 to 500 words in APA format. Utilize at least two scholarly references.  Note that scholarly references do not include Wikipedia, .COM websites, blogs, or other non-peer reviewed sources.  Utilize Google Scholar and/or the university library.  Do not copy and paste bulleted lists.  Instead, read the material and in your words, describe the recommendation citing the source. 

External link to 202006

202006

1. Select an information assurance topic you’re interested in. According to NIST, the definition of information assurance is:  Measures that protect and defend information and information systems by ensuring their availability, integrity, authentication, confidentiality, and non-repudiation. These measures include providing for restoration of information systems by incorporating protection, detection, and reaction capabilities.

External link to Business Intelligence: Discussion 3

Business Intelligence: Discussion 3

 Analytics projects that overlook data-related tasks (some of the most critical steps) often end up with the wrong answer for the right problem, and these unintentionally created, seemingly good answers could lead to inaccurate and untimely decisions. In your recommended textbook, some of the most common metrics that make for analytics-ready data were mentioned (Pgs 123 – 124). Choose three of these metrics and discuss […]

External link to Proof of Concept

Proof of Concept

After working in the industry for a number of years, you have decided to become a full time, self-employed consultant. William Cogswell, President of Cogswell Cogs, works with highly proprietary information, but has some sample data that he is familiar with. He requests that you perform a quick proof of concept with this sample data to showcase your skills and show William and his leadership […]

External link to Was sind Freispiele?

Was sind Freispiele?

Haben Sie Freispiele in Online-Casinos erlebt? Wenn Sie dies noch nicht getan haben, ist es möglicherweise an der Zeit, ein Konto bei einem zuverlässigen Casino zu eröffnen. Diese Spins können Ihre Casino-Gewinne erheblich steigern. Mit ihnen können Sie Ihren Lieblingsslot genießen und Ihre Gewinnchancen erhöhen. Zu den Casinos, die Freispiele anbieten, gehören viele Casinos. Hier ist eine genaue Anleitung. 

External link to Data Science in support of a manufacturing process

Data Science in support of a manufacturing process

For this assignment, you are required to research the benefits as well as the challenges associated with Data Science in support of a manufacturing process.  You can choose any type of product, so please try to focus on a single type of product, not manufacturing in general.  Examples could be automobiles, aircraft, computers, smart phones, heavy equipment, ships.

External link to Data Analytics

Data Analytics

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.

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