MBA510 Instructional Manual and Reflection Essay Sample

MBA510 Instructional Manual and Reflection

Your Task

1. Select one of the Graph CQL Workbooks.
2. Using this Workbook of graph database queries, write an online guide / instruction manual for a general (non-technical audience).
3. Reflect on your experiences in MBA510.

Assessment Description

Select, from any of the relevant weeks, a graph database topic e.g., Sports Analytics.

Assessment Instructions

Section 1: Instruction Manual (10 marks)

The audience for the below is someone from your family who have never heard of graph databases before.

Using your one graph query topic, write a guide, for one of your family members, that should: (500-600 words):

1. Show how the entire sets of queries work.
2. Make good use of diagrams as aids to non-verbal communications, especially graph relationship diagrams.
3. Demonstrate the kinds of insights that the queries provide.

Section 2: Reflective Essay 

Reflect on how this course has changed your view of graph database and how it could be used in your future career (500-600 words):

In your reflection you may want to consider:

• What were you most proud of in doing MBA510?
• What difficulties did you have to overcome during the course?
• What did you learn about data relationships modelling and analysis?
• What advice would you have for a student doing MBA510 next trimester?
• What applications do graph databases have and will have in the future?

Solution

Section 1: Instruction Manual

1. Entire sets of queries work

Investigating Offshore Tax-Havens and Money Laundering

When constructing a form or report, a query may be used to gather data from several tables and organize it into a unified whole. Graph query topic selected is Investigating Offshore Tax-Havens and Money Laundering. As per the MBA Assignment Expert, Depending on the context, a query may ask for specific information from your database, perform specific actions on the data, or do both. Because calculated values, such as subtotals, might become out-of-date if the values upon which they are based change, they are often not stored in tables, even if the data upon which they are based are stored in the same database (Bonifati et al., 2019). If you wanted to keep track of a money laundering case, you wouldn't put it in a database because you'd have to update it every year. 
For example, if you want to do similar activity of money laundering and have a list of them, you could use this. Orders Details is a table in this database that contains data on items, such as the selling price and quantity ordered of each item. 

2. Diagrams as aids to non-verbal communications, especially graph relationship diagrams.

Faster comprehension of data is facilitated by its visual depiction. Whether you're comparing money laundering numbers or emphasizing a trend, showing them off in a graph or chart gives your report or presentation more gravitas. But how can you know which graph or chart type is best? Depending on the spreadsheet application you're using, you may be able to choose from a variety of chart types when you go to add a chart. They're all quite ingenious on the surface, but which one is most suited to your data and your target audience? You'll need some familiarity with charts and graphs to get there. The four most frequent kinds of diagrams are covered here: line graphs, bar charts, pie charts, and Network diagrams.

Figure 1: The term "chart" is often used interchangeably with other types of graphical data displays. As can be seen in Figure 1, a "graph" refers to a chart that depicts data along two dimensions.

A chart's primary goals are information presentation and stimulating interest in the subject being charted. Don't overcrowd your charts with too much information; doing so will just leave your viewers feeling overwhelmed and unsure.

Figure 2: Figure 3: Example of a Line Graph

Sales for ABC Company are unpredictable. Figure 3 shows the key swings that may be seen in a year's worth of sales when plotted on a line graph (Ren et al., 2020). Throughout this location, business slows in the summer months of June and July, then again at year's end. 

3. Demonstrate the insights

The database can be defined as a collection of data that are collected in various forms. Data contains a range of entries for depicting the information that can be handled by the query. To perform the query there is a requirement for a programming language which is SQL. Query analysis is able to provide insights into data with the help of the pooled database.

Data analysis yields actionable insights. They explain what to do or how to think about a problem. Data-driven choices rely on actionable insights. Data are raw numbers and text. In spreadsheets or databases, you may find quantitative and qualitative data. Information is organized contextualized data. Reports, dashboards, and visualizations are examples. Analyzing money laundering information, developing conclusions, and making choices create insights about the history of money laundering thus similar activity can be identify. Insight refers to the capacity that generates the understanding from the dataset. There are different types of insights that are listed below.

• Interviews
• Trend analysis
• Online research
• Custom surveys
• Online research

Section 2: Reflective Essay

- What I'm most pleased with from taking MBA510 is the grounding I got in Data Journalism. While the practice of using statistics and data to tell stories is relatively new (the phrase "data journalism" was only created within the last decade), its popularity has skyrocketed owing to the ubiquitous availability of computing devices like laptops, tablets, and smartphones. As a result of data journalism, knowledge and understanding may be shared and gained by anybody. Statistics and hard data help us make sense of the world. It helps us see emerging tendencies, concerns, and patterns. Additionally, we can effect positive change. Data journalism has a wide range of applications, but its primary purpose is to aid reporters in making sense of the world around them.

- Being confronted by adversity is nothing new. This is because it is inevitable that one may encounter challenges while learning anything new, as this is true of everyone. The same is true for schoolchildren. Many challenges and problems might arise for a student at any point in his or her educational career (Ladjel et al., 2020). As a result, students must be forewarned of these challenges to allocate sufficient time, energy, and money to overcome them. Online assignment assistance is only one of several options available to students who are having trouble making headway in their studies. In addition to discussing where to get the greatest quality online assignment assistance, this post will also concentrate on how to better grasp the challenges of academic life and how to overcome them. With the help of data, I have learned how the data works for tracking various cases such as money laundering. Data contains a range of operations but all we have to do is to identify the insights from the available dataset that can be performed with the help of various techniques such as SQL, SPSS, and machine learning.

- An exhaustive and well-tuned data model facilitates the development of a streamlined, logical database that does away with extraneous information, minimizes the amount of space needed to store it, and facilitates rapid retrieval. As a bonus, it provides a "single source of truth" across all systems, which is crucial for efficient operations and demonstrable compliance with rules and regulatory standards. For two essential purposes of a digital business, data modeling is an essential first step. A database query may provide a basic response to a question, as well as execute computations, aggregate data from many databases, and insert, update, or remove records. Since inquiries are so flexible, you may tailor one to your needs by combining features from other kinds.

- Businesses at the forefront of their industries are increasingly using Graph databases, and for good reason. The flexibility, scalability, and speed that this cutting-edge technology provides in handling massive volumes of data that are both highly dynamic and increasing rapidly across many use cases are exactly what current applications need. And as more businesses embrace Graph technology, the Graph database is put to use in a wider variety of settings. If you want to streamline your company operations, get deeper insights into your customers, and make more informed choices, the Graph database is the way to go. Words mean nothing until they are followed by action. Each of these use cases has been successfully implemented in a real-world corporate setting, with the vast majority having been deployed by Protium.

Reference

Bonifati, A., Martens, W., & Timm, T. (2019, May). Navigating the maze of Wikidata query logs. In The World Wide Web Conference (pp. 127-138). DOI: https://doi.org/10.1145/3308558.3313472

Ren, H., Hu, W., & Leskovec, J. (2020). Query2box: Reasoning over knowledge graphs in vector space using box embeddings. arXiv preprint arXiv:2002.05969. DOI: 
https://doi.org/10.48550/arXiv.2002.05969

Ladjel, R., Anciaux, N., Pucheral, P., & Scerri, G. (2020). Secure distributed queries over large sets of personal home boxes. In Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIV (pp. 108-131). Springer, Berlin, Heidelberg. DOI: https://doi.org/10.1007/978-3-662-62271-1_4