- Better predict and resolve potential issues before they caused flight groundings or safety issues
- Apache Hadoop Platform: Cloudera Enterprise, Data Hub Edition
- Apache Hadoop Components: Apache HBase, Apache Hive, Apache Pig, Hue
- Data Analysis Tool: Python
- Predictive maintenance
- Aircraft safety
- Product design
- Enhanced safety
- Reduced risk
- Decreased costs
Sikorsky, a Lockheed Martin Company, is uncovering patterns in aircraft performance and parts that can help improve flight safety, optimize aircraft operations, and significantly reduce costs.
Sikorsky, a premier helicopter company worldwide and a division of Lockheed Martin, strives to be the safest OEM of helicopters. To achieve its goal, the company wanted to conduct more advanced analytics so it could better predict and resolve potential issues before they caused flight groundings or safety issues.
Rapid, data-driven decision support has helped Sikorsky further enhance safety, reduce risk, and reduce costs.
Using a scalable data management and analytics platform built on Cloudera Enterprise, Sikorsky can process and store data in a reliable way, and analyze full data sets across entire fleets. The use of Cloudera Enterprise enables staff to focus on aviation challenges instead of worrying about monitoring the cluster or upgrades. “What excites me about working at Sikorsky is solving these really, really hard problems. ...these helicopters that people are flying to do really important things. ...they're search and rescue in the ocean, they're saving people's lives, medivac, these types of things. Being able to support people doing those things, using data is amazing,” explained Mike Koelemay, Supervisor, Data Science, Advanced Analytics, Sikorsky.