Open AccessResearch and Application of Application System Architecture Based on Big Data
Author(s) -
Hongyu Li,
Ling Gao,
Xiaojun Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/4/042086
Subject(s) - big data , computer science , layer (electronics) , data access layer , architecture , context (archaeology) , data architecture , data science , database centric architecture , application layer , reference architecture , data modeling , systems engineering , database , software engineering , data mining , software architecture , engineering , operating system , software , software deployment , visual arts , art , paleontology , chemistry , organic chemistry , biology
With the advent of the era of big data, traditional application systems have been unable to meet the actual needs of the development of various industries. Building an application system architecture based on big data has become a top priority for many enterprises and organizations. In this context, based on the previous research, this paper proposes an application system architecture model based on big data and based on the application system design principle. The model is divided into data source layer, data storage layer, data acquisition and processing layer, data analysis layer, and data application layer. After a detailed description of the functions and characteristics of each layer, an application example is given for further analysis, hoping to provide some reference for each industry in building a big data application system architecture.