musicologist
发表于 2025-3-25 07:21:23
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结果
发表于 2025-3-25 10:02:02
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表状态
发表于 2025-3-25 12:52:13
https://doi.org/10.1007/978-3-319-06910-4ta assets according to the power data flow process, and proposes the confirmation of the power data assets. Method. It is hoped that through the confirmation of power data assets, the realization of open sharing of power data assets will be promoted.
带来的感觉
发表于 2025-3-25 15:55:13
Research and Design on the Confirmation Method of Power Data Assets,ta assets according to the power data flow process, and proposes the confirmation of the power data assets. Method. It is hoped that through the confirmation of power data assets, the realization of open sharing of power data assets will be promoted.
indicate
发表于 2025-3-25 21:10:57
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isotope
发表于 2025-3-26 01:12:08
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委派
发表于 2025-3-26 07:59:43
Chris Backes,Mariolina Eliantoniof the aerospace enterprise. We focus on the research of data resource directory standard, data resource inventory, and data resource directory framework. We introduce the application practice of the data resource directory system of the aerospace enterprise, which verifies the effectiveness and practicability of this system.
nitroglycerin
发表于 2025-3-26 11:27:35
Chris Backes,Mariolina Eliantonio power data assets, combined with common data asset valuation methods, this paper proposes production pricing method. It is hoped that through the pricing of power data assets, the transaction process of power data assets will be promoted and the development of the digital economy will be promoted.
Alienated
发表于 2025-3-26 14:39:01
Chris Backes,Mariolina Eliantoniot the application and analyzing some successful cases of big data technology in the real estate industry, this paper clarifies the common application scenarios and evaluating the performance of big data technology. In addition, the authors providing some suggestion for the future application of big data technology in the real estate industry.
Instrumental
发表于 2025-3-26 20:04:10
https://doi.org/10.1007/978-3-319-06910-4ugment the performance of massive data retrieval. Specifically, we store the Rowkey and index information in elasticsearch to help accelerate the querying of Hbase. Then an experiment in real use case is used to verify the effectiveness of presented method.