Journal of East China Normal University(Natural Science) ›› 2023, Vol. 2023 ›› Issue (5): 164-181.doi: 10.3969/j.issn.1000-5641.2023.05.014

• Data Analytics • Previous Articles    

A multimode data management method based on Data Fabric

Xinjun ZHENG1, Guoliang TIAN2,*(), Feihu HUANG3,*()   

  1. 1. School of Cyber Science and Engineering, Nanjing University of Science and Technology, Jiangyin, Jiangsu 214414, China
    2. China Mobile Group Jiangsu Co.Ltd., Nanjing 210029, China
    3. Beijing Boland Software Coporation, Beijing 100021, China
  • Received:2023-07-08 Accepted:2023-07-08 Online:2023-09-25 Published:2023-09-15
  • Contact: Guoliang TIAN,Feihu HUANG;


In the process of government and enterprise evolution, as information technology deepens from informatization into digitization, the data generated by various applications are becoming increasingly multimode, multisource, and massive, thereby posing new challenges to data management. To address these challenges, many new technologies and concepts have emerged in the field of data management. Data Fabric is a method that integrates distributed data storage, processing, and applications into a whole, providing a set of visual interfaces for management. First, we analyzed the technical architecture, characteristics, value, and complete process of managing and applying the multimode data of Data Fabric. Subsequently, we proposed anomaly monitoring methods based on time series indicators as well as log data for multimode and multisource data, whereby the processing speed improved by 33.3% and 42.2%, and F1 score improved by 12.2 pps (percentage points) and 14.8 pps, respectively, using Data Fabric technology. This further demonstrates the efficiency and application value of Data Fabric technology in the newly proposed methods.

Key words: Data Fabric, multimode data management, data virtualization

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