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Data Profiling in Property Graph Databases
Property Graph databases are being increasingly used within the industry as a powerful and flexible way to model real-world scenarios. With this flexibility, a great challenge appears regarding profiling tasks due to the need of adapting them to these new models while taking advantage of the Propert...
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Published in: | ACM journal of data and information quality 2020-11, Vol.12 (4), p.1-27 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Property Graph databases are being increasingly used within the industry as a powerful and flexible way to model real-world scenarios. With this flexibility, a great challenge appears regarding profiling tasks due to the need of adapting them to these new models while taking advantage of the Property Graphs’ particularities. This article proposes a set of data profiling tasks by integrating existing methods and techniques and an taxonomy to classify them. In addition, an application pipeline is provided while a formal specification of some tasks is defined. |
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ISSN: | 1936-1955 1936-1963 |
DOI: | 10.1145/3409473 |