Title :
Big Data Infrastructure for Aviation Data Analytics
Author :
Murugan, Anandavel ; Mylaraswamy, Dinkar ; Xu, Benwei ; Dietrich, Paul
Author_Institution :
Honeywell Technol. Solutions Ltd., Madurai, India
Abstract :
This paper describes our approach towards developing and using a big data infrastructure for analyzing aviation data. In this paper, we briefly introduce our data sources, nature of data collected, cluster design, data loading and storage strategy and our language and library of choice for analytics and visualization. We present some of the analytics we have implemented for health monitoring of auxiliary power units (APUs) using our big data infrastructure. Best practices to implement big data analytics and pitfalls are discussed and substantiated with our experiences.
Keywords :
Big Data; aerospace engineering; data analysis; storage management; APU; Big Data infrastructure; auxiliary power units; aviation data analytics; cluster design; data collection; data loading; health monitoring; storage strategy; Aircraft; Big data; Data mining; Data visualization; Maintenance engineering; Market research; Servers;
Conference_Titel :
Cloud Computing in Emerging Markets (CCEM), 2014 IEEE International Conference on
Conference_Location :
Bangalore
DOI :
10.1109/CCEM.2014.7015483
