Data engineering is a field which deals with building systems to collect data and the usage of collected data. This data type will be used in data science management and subsequent data analysis, including machine learning, computing, storing, and processing data.
According to Coursera, “Data engineering has been one of the fastest-growing fields in the UK for the past 5 years. It is coming at number 13 on LinkedIn’s list of demanding jobs in 2023. According to the latest updates from London, UK, in August 2023, data engineering gives a lot of job opportunities with an average salary of £58,058.”
Data engineering covers multiple steps which turn a complex data lake into a practical and easily accessible final product that is good at meeting analytical, machine learning and data scientists’ needs. According to AltexSoft, usually, the data engineering process contains the following steps, as shown in the figure:
Students consider this subject as tough because of its complex end-to-end workflow and ambiguous terminologies.
Why are Students Struggling with Data Engineering?
Students of data science find data engineering subject quite tough to learn. Because it is a broad field that is filled with buzzwords, tools and ambiguous roles. This makes it challenging to understand, especially ETL (Extract Transform Load), data analytics, data modelling and SQL queries. It is linked with data science and software engineering as AltexSoft represents it:
Students can only learn it by experiencing these tough terminologies and tackling all the complex challenges in this field.
Writing an assignment on data engineering is also a complex task because, with an in-depth understanding of technical terminologies, students should also have good academic writing skills. Most of the students lack these skills, and therefore, data engineering assignment writing seems a nightmare to them. In this troubling situation, students can buy assignment online from The Academic Papers UK and make their academic career easy for them.
How to Write a Data Engineering Assignment?
No doubt, assignment writing on data engineering is a challenging task, but you can do it effectively if you follow all the steps that we are going to discuss in the following lines:
1. Clearly understand the Assignment Introduction
Instructions on data engineering assignment writing will be filled with tough keywords and phrases. Before you jump into starting your assignment writing process, first, you need to understand instructions and guidelines carefully. Your main focus will be on the keywords, phrases, and action keywords.
Your action keywords contain assignment prompt, which includes words like analyse, develop, demonstrate, discuss, explain, describe, evaluate, etc. You also need to look over other guidelines, including word limit, formatting, referencing style, font size and style.
2. Brainstorming and Mind Mapping
After having a complete understanding, the next is to collect the ideas by brainstorming. Collect all the relevant ideas in mind, such as what you already know about this Data Engineering assignment topic, what you need to research, and how much data you need to cover every single query related to your subject matter.
Chalk out all the ideas and essential elements, and then create a map either on paper or on your screen by focusing on the central theme. For example, if you are writing an assignment on “Data Visualisations and Reporting”, you can create a map as Elder Research represent a phase of data engineering as shown below:
3. Conduct In-depth Research
Conducting research is an essential part of assignment writing. If you are good at researching relevant data, then you will be able to write your data engineering assignment impressively. However, most of the students lack good research skills, and they fail to compose a good piece of paper.
You can collect data, both primary and secondary, from credible resources. Your primary data involves first-hand information that you can collect through self-observation, interviews, and questionnaires. On the other hand, you can collect secondary data from web search engines, encyclopaedias, library books, and magazines.
4. Draft a Robust Outline
Your article outline will be a road map which will allow you to research your destination without any misleading or distraction. You can create an outline by writing all the main points with headings and subheadings. It will create a good table of contents.
Once you have created a layout of your assignment, you will address your argument concisely but clearly by focusing on the main topic. So, if you want to make your writing procedure easy, develop a strong outline before starting data engineering assignment writing
5. Structure Your Assignment
Usually, a standard assignment structure contains three sections where you can easily define, explain and conclude your core statements and focus on the subject matter. These three sections involve:
- Introduction
- The main body
- Summary
Start your Data Engineering homework with an engaging introduction to grab your reader’s attention and develop a strong first impression. Proceed by providing arguments to prove your core statements with the help of relevant examples, statistical information, and quotes. At the end, conclude your assignment impressively by giving implementation of your study design that reflects a lasting impression.
6. Add References and Citation
Oxford Learner’s Dictionaries defines citation as “Words or lines taken from a book or a speech.”
Reference is defined as “A thing you say or write that mentions someone or something else; the act of mentioning someone or something.”
Adding citation and references to your assignment make it more authentic and trustworthy. Make sure you are incorporating references according to the instructions and referencing guidelines. But if no referencing style is specified, then you can use the most commonly used references and citation styles, which include:
- MLA
- APA
- Chicago
- Vancouver
- Harvard referencing style
7. Polish Your Assignment
After that, give a finishing touch to make a polished piece of paper. For this purpose, check your content against grammar, spelling, punctuation, and minor typos errors. Do not start proofreading data engineering assignments just after completing them.
You should take a short break when you finish the assignment writing process. And come back with fresh eyes and minds to carefully read and evaluate mistakes from the assessment. Mark all the mistakes, remove these errors and make the finest look of the data engineering assignment.
Conclusion
Data engineering is all about data ingestion, data transformation and data serving. It is a complex subject to learn due to its tough terminologies and technical practices, but highly paid in the job industry. Due to its high scope in the job market, students get enrolled in this subject in a stream, but when asked to write data engineering coursework assignments, they get stuck.
Over here, some students need useful tricks to move on; we have compiled a list of the top 7 best strategies to follow. These proven steps with examples will definitely enhance the overall quality of your assignment. But if you are struggling with balancing your CGPA with your daily tough schedule, you hire assignment writing services and get good grades in assessments without any obstacles.
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