Review and analysis of means and methods for automatic data extraction from heterogeneous sources
Authors
Alexey Samoylov, Alexey Tselykh, Nikolay Sergeev, Margarita Kucherova
Corresponding Author
Alexey Samoylov
Available Online December 2017.
- DOI
- 10.2991/itsmssm-17.2017.43How to use a DOI?
- Keywords
- Big data, data extraction, knowledge discovery, data mining, heterogeneous data sources
- Abstract
There is a problem in the process of data analysis, which is related to their extraction and preparation. This problem is the consequence of a necessity for integration of heterogeneous structures both in structure and format. The technical solution to this problem is to use ETL-systems that automate processes of extraction, transformation and loading of data into a storage according to strictly defined rules. To date, scientific research in this area focuses on increasing performance and documenting the semantics of the process for its reuse. The paper presents results of a review and analysis of actual solutions in the field of extraction of heterogeneous data of large volume.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Alexey Samoylov AU - Alexey Tselykh AU - Nikolay Sergeev AU - Margarita Kucherova PY - 2017/12 DA - 2017/12 TI - Review and analysis of means and methods for automatic data extraction from heterogeneous sources BT - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017) PB - Atlantis Press SP - 201 EP - 204 SN - 2352-538X UR - https://doi.org/10.2991/itsmssm-17.2017.43 DO - 10.2991/itsmssm-17.2017.43 ID - Samoylov2017/12 ER -