Data Modeling as Emerging Problems of Data Science
Mahyuddin K. M. Nasution, Marischa Elveny · 2022
Science considers data differently according to importance and time. So far, data has opened the eyes of many people through data science, and a variety of problems arise, especially with the daily growth of data with large sizes cause processing is not easy. On another side, information comes from processing data, while knowledge that is the backbone of a decision has an information basis. Since the beginning, computers have provided a solution to data processing, but the processing requires data modeling. A data model that structures data into a form that is easy to process. Information technology or computers continue to change and give birth to many advances. Computer networks and the Internet have caused communication traffic between computer users to scatter data in various storage places of the server and everywhere according to their interests. So, it is not easy to collect them back into one unity that describes the current state of the data that talks about something. Moreover, not only has data become so large and diverse, it tends to be generally unstructured. This chapter reveals data modeling as a matter of data science, revealing the possibility of a new side of the data.