AN EXPLORATION OF BIG DATA AS THE BASIS FOR DEVELOPING A FLUID AND ADAPTABLE ARCHITECTURE PROGRAMMING

Abstract

Many discussions have been devoted to the use of big data in architecture, particularly as atool for data predictive analysis. Interpretation of big data rules, however, is rarely discussed. This paper explores the use of big data as a basis for programming architectures. It emphasizes the use of big data in design beyond predicting the future. Instead, it is a descriptive resource that transcends rigid data dependencies. This allows architectural program development to become more flexible and adaptable. This study was conducted using exploratory qualitative methodology. A variety of sources in Google were used to collect the data. By using the tracing method, a rule inquiry is conducted. To gain a better understanding of how big data can be applied in architectural programming, a rules-based design exploration was conducted. Based on the results of this study, the following methods may be used to determine the rules: (1) data collection for reading patterns, (2) trace lines as a basis for discovering rules, and (3) exploration of rules as a basis for programming design. The concept of architecture can be considered asa component that incorporates digital technology, which enhances efficiency and adaptability