Big Data is a very complicated phenomenon. The market for big data was worth $8.5 billion in 2017, so you can imagine that lots of academics are covering it. There are countless variables that need to be taken into account when you are trying to study the applications of big data.
Therefore, most research papers on big data are very detailed and cover a very specific subject. Whether you are trying to write a paper on climate change for an undergraduate class or writing a thesis on big data for a master’s degree in computer science, you are going to need to develop the right outline.
Creating the Perfect Outline for a Research Paper on a Big Data Topic
It is no secret that lots of students stress over their written assignments, especially when they have no idea where to start from. They confess that it’s extremely difficult to stick to the point and maintain the flow of their papers. Research papers on big data are no exception. In fact, writing a paper on big data can be even more difficult, largely due to the sheer depth of mathematical expressions and technical details.
A study from Brookings University showed that big data is changing the way students write. It is also creating a new field of topics for them to cover.
We’ll bet you’re also familiar with such academic tortures. Most people working on a degree in data science are used to staying up late to work on projects. To spare yourself the stress of organizing the train of unrestrained thoughts and feverishly figuring out what you’ll be writing about in your assignment you should make it your rule to begin with a plan. It’s critical that you come up with a framework for your ideas, arguments, and evidence you’re intending to use in your paper. Still beating you brains out trying to figure out how to write essay online that will help you develop an argument and structure your work appropriately? Go on reading our article.
Come up with a topic that interests you and set a writing goal
It’s not a secret that an interesting topic is the prerequisite for a successful paper. Therefore, it’s essential that you pick the topic that concerns, inspires, or thrills you. Moreover, the selected topic needs to be challenging and thought-provoking. Needless to say, it should be interesting not only to you, but also your audience. So, take care to choose a good one.
- Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix
- Significance and Challenges of Big Data Research
- Data for: Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data
You will obviously need to come up with your own topic, but these can be a good starting point.
Once you pick a topic, you’ll need to identify the initial focus for your assignment, be it a research paper or a literary analysis essay. (If you’ve forgotten how to write a literary analysis essay don’t hesitate to refer to our previous articles). Think of your paper’s objectives and purpose. What do you want to emphasize and have your readers pay special attention to? What facts or opinions do you intend to rebut? Having a specific goal in your mind will help you stay within scope of your research and find appropriate content for the paper. Make sure to reflect this goal in your outline.
List the main ideas
Brainstorming is an integral part of your writing process, especially if you are discussing a complex big data topic. At this point you need to sift through ideas in order to pick the most important, viable, and pertinent ones. You probably know what brainstorming techniques work better for you, but it’s never late to try out something new. Take freewriting. It’s one of the most popular brainstorming methods that implies jotting down all ideas that come to your mind. You can also list the important ideas and then sort them by relevance and pertinence to your research topic. It’s also a good idea to mention some subtopics you can possibly touch on in your paper. Also, remember to cluster the points you want to make around your thesis statement. Don’t worry if the ideas turn out to be somewhat messy and unorganized. You’ll be able to refine and organize them as you go along.
Keep in mind that you are going to need to cover a lot of technical elements after you process big data. You may need to look at various Hadoop models first. But you can at least start the general direction of your paper.
Organize and streamline your ideas
Therefore, you need to take care to put the ideas in an order. You can group the information by category and decide on the structure. Some common organizational structures include division and classification, cause and effect, compare and contrast, narration, definition, and process. This part is fortunately easier with papers on big data than other topics. Be sure to opt for the structure that will help you best present and support your argument.
Elaborate on the main points
Now that you’ve decided on the organization of your main points, it’s about time you elaborated on them and found some evidence to back up your argument. Enlarge on the original ideas; consider adding more examples, supporting quotes, anecdotes, your own opinion, etc. The more detailed your outline appear, the less time you’ll spend on developing ideas in your final draft. You are going to need a lot of graphs to flush things out with a big data paper.
Review and Revise
Once you finish adding details to your outline, you may feel like getting down to writing your essay. But that’s where we need to stop you. We highly recommend that you let your outline sit for a while. Get back to it when you get enough rest and are ready to look at your creation with fresh eyes. Review and adjust your outline until you feel it reflects the ideas you’re going to present in your paper. Take care to include all of the important ideas, make logical transitions and connections between your points. Once you’re through with your outline, you may proceed to write a meaningful and well-developed essay.
Writing Papers on Big Data is Not Impossible
There are a lot of factors to cover when you are writing a paper on big data. It may seem overwhelming at first, but you will be able to break things down nicely when you start with your paper.