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Personal data lake with data gravity pull

Walker, Coral and Alrehamy, Hassan 2015. Personal data lake with data gravity pull. Presented at: 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCloud), Dalian, China, 26 - 28 August 2015. 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCloud). IEEE, pp. 160-167. 10.1109/BDCloud.2015.62

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Abstract

This paper presents Personal Data Lake, a unified storage facility for storing, analyzing and querying personal data. A data lake stores data regardless of format and thus provides an intuitive way to store personal data fragments of any type. Metadata management is a central part of the lake architecture. For structured/semi-structured data fragments, metadata may contain information about the schema of the data so that the data can be transformed into queryable data objects when required. For unstructured data, enabling gravity pull means allowing third-party plugins so that the unstructured data can be analyzed and queried.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: IEEE
ISBN: 9781467371827
Last Modified: 06 Mar 2020 15:15
URI: http://orca-mwe.cf.ac.uk/id/eprint/89397

Citation Data

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