Open AccessBuilding Digital Transformation to improve NGCTR design and simulation
Author(s) -
Michele Sesana,
Alessandro Pietro Bardelli
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1024/1/012103
Subject(s) - big data , process (computing) , computer science , transformation (genetics) , data science , digital transformation , emerging technologies , cluster (spacecraft) , systems engineering , engineering , world wide web , data mining , artificial intelligence , operating system , biochemistry , chemistry , gene
new technologies and increasing accessibility of powerful hardware are opening a new world of opportunity to digitalize current processes making them more efficient. The paper will discuss the process of digital transformation of the NGCTR flight test campaign in which the new big data analysis technologies have a central role in the gathering, storing analyses and provision of evidence about what happened during flight. The new approach is enabled thanks to a powerful big data analysis cluster which have been tailored to best support the specific process.