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Data Model Logger - Data Discovery for Extract-Transform-Load
School of Science Aalto University P.O. Box 15400, FI-00076 Aalto, Espoo, Finland.ORCID iD: 0000-0002-8078-5172
2017 (English)In: 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Information Systems (ISs) are fundamental to streamline operations and support processes of any modern enterprise. Being able to perform analytics over the data managed in various enterprise ISs is becoming increasingly important for organisational growth. Extract, Transform, and Load (ETL) are the necessary pre-processing steps of any data mining activity. Due to the complexity of modern IS, extracting data is becoming increasingly complicated and time-consuming. In order to ease the process, this paper proposes a methodology and a pilot implementation, that aims to simplify data extraction process by leveraging the end-users' knowledge and understanding of the specific IS.

Place, publisher, year, edition, pages
IEEE, 2017.
Keywords [en]
Databases, Data mining, Data models, Graphical user interfaces, Task analysis, Conferences, Information systems
National Category
Information Systems
Identifiers
URN: urn:nbn:se:umu:diva-154891DOI: 10.1109/HPCC-SmartCity-DSS.2017.87ISI: 000450718900087OAI: oai:DiVA.org:umu-154891DiVA, id: diva2:1275006
Conference
3rd IEEE International Conference on Data Science and Systems (DSS-2017), Bangkok, Thailand, December 18-20, 2017
Funder
EU, Horizon 2020, 688203Available from: 2019-01-04 Created: 2019-01-04 Last updated: 2019-06-14Bibliographically approved

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Främling, Kary

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  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf