Before the Second World War, most of the time-consuming calculations were operated manually, limiting the data analysis’s potential and scales. After the War, certain post-analysis was made, and scientific computing began to progress. Each company with resources was encouraged to create original software via special formulas and algorithms, and then upload various data into the written programs. Currently, the world is developing fast, and in many regards, this race is about technology. Big Data tends to keep the lead in this competition, including the academic sphere.
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Big Data in a Nutshell
In a nutshell, Big Data is data that does not fit into a computer’s RAM. In essence, this description suggests that the feature “to be large” is not an independent one but depends on the system’s attributes used to process them. For instance, an ordinary person can try their best but not recollect the daily temperature indexes in their city for the entire past month. Thus, these thirty-day indexes could serve well as an illustration of Big Data. However, here is a person documenting that “the past month was predominantly cold” and doing it with a great deal of confidence. This message decodes facts about the processed and operated data. According to the individual delivering the message, and obviously using IT tools, the average temperature for the past month tended to be lower than it usually was the same month for several decades. Studying more details about the phenomenon is available through the writing services and the qualified assistance of their writers.
Big Data and its Vital Role for Humanity
Another illustration would be data characterizing objects that theoretically carry essential information but are of such scale that it is practically impossible to process or keep this data or even collect it. You may consider, for example, a dataset with the coordinates and velocities of molecules constantly “moving” in an air column over a local airport. There is also metadata telling when the professional measurement has been taken and the type of the molecules. Such a dataset carries details regarding the weather situation over the airport under the focus, including temperature, atmospheric pressure, humidity index, clouds, and unique weather conditions like a tornado nearby or hail. From another perspective, for accurate processing, the data for all molecules must be adequate and complete enough, as well as representative for its efficient use in statistical reviews. Therefore, to work with Big Data, you need to construct your own model, depending on the sphere of use. It would allow forming methods for conducting functional operations with this data to subsequently write valuable reports. Someday, an innovative way to process and calculate Big Data will enable specialists to better predict natural catastrophes and save more lives.
Big Data to Improve Student’s Attendance and Sense of Belonging
In the case of education, Big Data has already proved its importance and benefits. There are numerous cases to consider seeing this in practice; a personalized way to learn about them is for you to order a respective report or essay from the paper writing service CustomWritings.com. One of the most renowned examples is Nottingham Trent University in England. Almost a decade ago, one presented an interactive method of descriptive analytics to process student academic achievements in the form of a dashboard that displayed data on student involvement in the learning process. The dashboard’s design was constructed in a way that would assist in lessening the dropout rates, enhancing attendance, and boosting the sense of belonging to the university community. The dashboard, accessible to students and teachers, displays the key indicators of a student’s involvement compared to his or her fellow students:
- The frequency of utilizing the library;
- Data about the studied programs;
- Individual attendance;
- Associated learning indicators.
Thus, any student can review and attentively track one’s own activity and compare it with fellow students’ indexes to understand how they have integrated into the educational process and the life of the academic institution in general and which subjects included in the curriculum require more hours to dedicate to. Suppose a student does not show readiness to work on the problematic areas and demonstrates no actions within two weeks. In that case, the platform sends special notifications to supervisors so that they act fast to contact the student “in trouble” and support them; one of the ways to cope is to buy some cheap educational material and become a loyal customer of academic assistance services.
Big Data as Assistance in Ensuring Success and preventing Dropout
Another interesting example of a top-level is Purdue University in the USA, where initiative educators have launched a predictive analytics system. The one works the following way: it collects facts and data about students’ academic history and details of their activity in the digital learning space, plus their demographic data. Based on this information, the dropout danger status for each student is estimated. The value of this indicator is then received and operated by the accredited coordinator and the student oneself on a periodic basis. To guarantee clarity, the data is visualized in English:
- Students with the highest potential to successfully finish the semester are labeled in green;
- If they are at risk, then the color of their mark is yellow;
- The ones who need immediate and direct help from the educator are labeled in red.
This interactive Big Data system worked well to upgrade learning results and lessen the dropout rates in general. This is, perhaps, its fundamental importance for all university and college students. This approach can work even more proficiently if, in case of difficulty with understanding a particular topic, the student refers to the writer from a specialized service, who can offer them an example of an assignment for free or recommend high-rate writers to complete custom essays or papers from scratch.
Big Data as a Basis of Academic Future
Hence, as experience with Big Data in universities and colleges has already proved, the key benefits of it are simple:
- Upgrade level and quality of accomplishments;
- Re-energize the sense of belonging to the academic community;
- Minimize the chances of dropout;
- Maintain high attendance rates.
These apparent from the first sight privileges actually allow growing up qualified and disciplined candidates to be hired by reputable companies who first of all value the attitude and diligence in an employee. To become an expert in Big Data, a student may start by conducting research on some well-known online resource and academic website providing checked facts and statistics and analyzing cases on the subject.
All in all, Big Data plays an essential role in higher education as well. Its importance and ethics is evident nowadays.