Extracting knowledge patterns in a data lake for management effectiveness
With the correlation collision between different types of data becomes more and more intense, a meaningful and far-reaching data revolution has arrived. Enterprises urgently require a hybrid data platform that can effectively break data silos, and unify data aggregation and sharing. Once the data la...
Main Authors: | Cheng Ziyi, Wang Haitong, Li Hongyan |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/74/e3sconf_ebldm2020_03045.pdf |
Similar Items
-
Research of Agricultural Big data
by: Li Hongyan, et al.
Published: (2020-01-01) -
Predictive model of effective sustainable operation for sustainable development of enterprises
by: Wang Haitong, et al.
Published: (2020-01-01) -
Metadata Extraction and Management in Data Lakes With GEMMS
by: Christoph Quix, et al.
Published: (2016-12-01) -
A Study of the Swirling Flow Pattern when Using TurboSwirl in the Casting Process
by: Bai, Haitong
Published: (2016) -
Extraction of Spatial and Temporal Patterns of Concentrations of Chlorophyll-a and Total Suspended Matter in Poyang Lake Using GF-1 Satellite Data
by: Jian Xu, et al.
Published: (2020-02-01)