| Issue |
EPJ Web Conf.
Volume 177, 2018
The XXI International Scientific Conference of Young Scientists and Specialists (AYSS-2017)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 5 | |
| Section | Information Technology | |
| DOI | https://doi.org/10.1051/epjconf/201817705003 | |
| Published online | 18 April 2018 | |
https://doi.org/10.1051/epjconf/201817705003
DataForge: Modular platform for data storage and analysis
1
Institute for Nuclear Research RAS, prospekt 60-letiya Oktyabrya 7a, Moscow 117312
2
Moscow Institute of Physics and Technology, 9 Institutskiy per., Dolgoprudny, Moscow Region, 141700, Russian Federation
* e-mail: nozik@inr.ru
Published online: 18 April 2018
DataForge is a framework for automated data acquisition, storage and analysis based on modern achievements of applied programming. The aim of the DataForge is to automate some standard tasks like parallel data processing, logging, output sorting and distributed computing. Also the framework extensively uses declarative programming principles via meta-data concept which allows a certain degree of meta-programming and improves results reproducibility.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.