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Heuristic Principles Reflection (Coursework Sample)


Heuristic Principles Reflection
a Data Engineer in the manufacturing Industry using the Nielsen’s Ten Heuristic Principles
Provide a 500 word (or 2 pages double spaced) minimum reflection.
Use of proper APA formatting and citations. If supporting evidence from outside resources is used those
must be properly cited.
Share a personal connection that identifies specific knowledge and theories from this course.
Demonstrate a connection to your current work environment. If you are not employed, demonstrate a
connection to your desired work environment.
You should not, provide an overview of the assignments assigned in the course. The assignment asks
that you reflect how the knowledge and skills obtained through meeting course objectives were applied
or could be applied in the workplace.


Heuristic Principles Reflection
The knowledge and skills obtained from this course are vital because it plays an instrumental role in enabling me to fulfill my duties as a data engineer. As a data engineer, the main goal is to make data accessible so that a particular form can utilize it to maximize its performance. As a data engineer in manufacturing, there are various duties I have to fulfill. Some of them include developing algorithms that play an instrumental role in transforming data into information that is actionable/useful, Data pipeline maintenance, and managing data and meta-data; this is made possible through database management systems and Track pipeline stability, among other things. Through this course, I will acquire the necessary data engineering skills, enabling me to become a competent data engineer.
Jakob Nielsen came up with 10 general principles which are essential when it comes to human-computer interaction. As a data engineer, these principles are relevant and should be applied. The first principle is Visibility of System Status. Data engineers develop a system that collects, manages, and convert raw data to a format that can be easily used (Glassdoor, Inc., 2022). When individuals interact with a particular system, there should be immediate feedback. A great example is the sound produced when a tweet is posted. The second principle is system and the real world should match (Nielsen Norman Group, 2022). As a data engineer, information should be in a logical and natural order. Essentially, designing systems should be dictated by specific users. Additionally, the concepts used should be familiar to colleagues. The third principle is User control and freedom. Users of a particular system make mistakes; therefore, there is a need to have an "emergency exit" without necessarily going through a complex process. As a data engineer, this needs to be considered because it promotes freedom and control.

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