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Challenges Associated with Big Data in Aviation and Solutions from a Velocity Perspective
- Big data has become an essential asset across many industries, and aviation is no exception.
- The immense volume, variety, and velocity of flight data present opportunities and challenges.
- Real-time data processing, data integration and interoperability, data accuracy and reliability, scalability, and cybersecurity risks are some key challenges in big data for aviation that need to be overcome.
- The speed at which data is generated and must be processed in real-time or near-real-time is known as velocity, which is one of the most significant aspects in aviation big data.
- Adopting Edge Computing for real-time processing, utilizing AI and Machine Learning for predictive insights, and enhancing scalability with Cloud Solutions are some strategies to manage challenges associated with big data velocity.
- Benefits of efficient Big Data Velocity Management are Improved Safety, Operational Efficiency, Enhanced Passenger Experience, Predictive, and Preventive Maintenance.
- Efficient velocity management is not only a technological necessity but also a strategic advantage that aviation stakeholders must adopt to flourish in a data-driven future.
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