DataForge: Modular platform for data storage and analysis

DataForge: Modular platform for data storage and analysis

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 extensiv...

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Bibliographic Details
Main Author: Nozik Alexander
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201817705003
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spelling doaj-53a71d586019425c96d0a82aefe250c22021-08-02T20:07:58ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011770500310.1051/epjconf/201817705003epjconf_ayss2018_05003DataForge: Modular platform for data storage and analysisNozik AlexanderDataForge 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.https://doi.org/10.1051/epjconf/201817705003
collection DOAJ
language English
format Article
sources DOAJ
author Nozik Alexander
spellingShingle Nozik Alexander
DataForge: Modular platform for data storage and analysis
EPJ Web of Conferences
author_facet Nozik Alexander
author_sort Nozik Alexander
title DataForge: Modular platform for data storage and analysis
title_short DataForge: Modular platform for data storage and analysis
title_full DataForge: Modular platform for data storage and analysis
title_fullStr DataForge: Modular platform for data storage and analysis
title_full_unstemmed DataForge: Modular platform for data storage and analysis
title_sort dataforge: modular platform for data storage and analysis
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/epjconf/201817705003
work_keys_str_mv AT nozikalexander dataforgemodularplatformfordatastorageandanalysis
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