Research on DataOps Capability - Practice and Development

被引：0
|
作者：
Yin, Zheng [1 ]
Zhou, Shengwen [1 ]
Zhou, Jingjing [1 ]
Tian, Minghui [1 ]
Lin, Musen [1 ]
Liu, Sida [1 ]
机构：
[1] China Acad Informat & Commun Technol, Cloud Comp & Big Data Res Inst, Beijing, Peoples R China
来源：
2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023 | 2024年
关键词：
dataops; big data; artificial intelligence;
D O I：
10.1109/TrustCom60117.2023.00303
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The rapid advancement of modern techniques, including big data, the Internet, cloud computing, communication technology, and artificial intelligence, has resulted in an increasing number of businesses relying on data to manage and monitor their operations. As a result, there is a substantial need for data. Given this immense demand, the secure, efficient, and high-quality delivery of data has become a critical concern for enterprises. This paper proposes a capability framework for the integration of data development and operations (DataOps) to help enterprises build complete DataOps capabilities.
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页码：2170 / 2174
页数：5
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