Big data technologies forward-looking

Autor: Hong MEI, Xiaoyong DU, Hai JIN, Xueqi CHENG, Yunpeng CHAI, Xuanhua SHI, Xiaolong JIN, Yasha WANG, Chi LIU
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: 大数据, Vol 9, Pp 1-20 (2023)
Druh dokumentu: article
ISSN: 2096-0271
DOI: 10.11959/j.issn.2096-0271.2023009
Popis: Major countries in the world attach great importance to the development of big data technology.China also puts big data as a national strategy, of great significance to develop in the long run.Big data technologies include data collection, transmission, management, processing, analysis, and application, forming a data life cycle as well as the data governance related to each procedure.Big data management, processing, analysis, and governance in four areas were seleceted, to identify the gap between China and the world.On the other hand, driven by diverse successful big data applications, the system architecture of computing technology is being restructured.From “computation-centric” to “data-centric”, fundamental computing theories and core technologies need to be redesigned, therefore a new type of big data system technology is becoming an important research direction.Against this background, four technical challenges and ten future development trends of big data technologies were aimed at identifying.
Databáze: Directory of Open Access Journals