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MDM: governing evolution in big data ecosystems

Author
Nadal, S.; Abello, A.; Romero, O.; Vansummeren, S.; Vassiliadis , P.
Type of activity
Presentation of work at congresses
Name of edition
21th International Conference on Extending Database Technology
Date of publication
2019
Presentation's date
2018-03-26
Book of congress proceedings
Advances in Database Technology, EDBT 2018, 21st International Conference on Extending Database Technology: Vienna, Austria, March 26–29, 2018: proceedings
First page
682
Last page
685
Publisher
OpenProceedings
DOI
10.5441/002/edbt.2018.84
Project funding
(GENESIS) Generation and Evolution of Smart APIs
SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback
Repository
http://hdl.handle.net/2117/128004 Open in new window
URL
https://openproceedings.org/2018/conf/edbt/paper-307.pdf Open in new window
Abstract
On-demand integration of multiple data sources is a critical requirement in many Big Data settings. This has been coined as the data variety challenge, which refers to the complexity of dealing with an heterogeneous set of data sources to enable their integrated analysis. In Big Data settings, data sources are commonly represented by external REST APIs, which provide data in their original format and continously apply changes in their structure (i.e., schema). Thus, data analysts face the challe...
Citation
Nadal, S. [et al.]. MDM: governing evolution in big data ecosystems. A: International Conference on Extending Database Technology. "Advances in Database Technology, EDBT 2018, 21st International Conference on Extending Database Technology: Vienna, Austria, March 26–29, 2018: proceedings". Konstanz: OpenProceedings, 2018, p. 682-685.
Keywords
MDM, Metadata Management System
Group of research
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

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