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Using knowledge management to create a Data Hub and leverage the usage of a Data Lake

Using knowledge management to create a Data Hub and leverage the usage of a Data Lake As repositories into which different types of data without pre-processing and modelling can be added, Data Lakes have attracted much interest. They speed up the delivery of data to users and preserve its highest granularity level. That same flexibility can be dangerous. If not managed, it is easy to lose control of the repository because of the volume it holds and its growth. As Data Lakes do not carry the semantics of a regular database, understanding its contents can be cumbersome, which undermines its widespread use within a company, dampening the perception that it has helped data science efforts. This work uses knowledge management models as a basis to solve these issues by enriching the data in a Data Lake with information that enhances its usability. Concomitantly, with the use of a data portal platform and suggested metadata, we propose a portal that provides easy access to the Data Lake. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Knowledge Management Studies Inderscience Publishers

Using knowledge management to create a Data Hub and leverage the usage of a Data Lake

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1743-8268
eISSN
1743-8276
DOI
10.1504/IJKMS.2018.094214
Publisher site
See Article on Publisher Site

Abstract

As repositories into which different types of data without pre-processing and modelling can be added, Data Lakes have attracted much interest. They speed up the delivery of data to users and preserve its highest granularity level. That same flexibility can be dangerous. If not managed, it is easy to lose control of the repository because of the volume it holds and its growth. As Data Lakes do not carry the semantics of a regular database, understanding its contents can be cumbersome, which undermines its widespread use within a company, dampening the perception that it has helped data science efforts. This work uses knowledge management models as a basis to solve these issues by enriching the data in a Data Lake with information that enhances its usability. Concomitantly, with the use of a data portal platform and suggested metadata, we propose a portal that provides easy access to the Data Lake.

Journal

International Journal of Knowledge Management StudiesInderscience Publishers

Published: Jan 1, 2018

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