Ignite summit schedule
Integrating FlightGear with Apache Ignite for Real-Time In-Flight Data Analysis
In this session, we will explore how to connect real-time data from FlightGear, an open-source flight simulator, to Apache Ignite for the real-time analysis of various in-flight aircraft parameters. Attendees will gain insights into setting up a data streaming pipeline from FlightGear to Apache Ignite, leveraging Ignite's in-memory computing capabilities to process and analyze flight data with minimal latency in a scalable AWS cloud environment. Description: The aviation industry relies heavily on real-time data analysis to monitor aircraft performance, ensure safety, and enhance operational efficiency. FlightGear, a sophisticated flight simulator, generates a wealth of in-flight data that can be harnessed for analytical purposes. By integrating FlightGear with Apache Ignite, we can create a robust platform for real-time analysis of flight parameters such as altitude, speed, engine performance, and more. This talk will cover: - Data Streaming Integration: Setting up a seamless data streaming pipeline from FlightGear to Apache Ignite using Ignite's Data Streaming APIs. - Real-Time Data Processing: Utilizing Ignite's in-memory computing capabilities to process and analyze streaming data in real-time, enabling immediate insights into aircraft performance. - Analytical Techniques: Applying continuous queries and event-driven processing to monitor critical flight parameters and detect anomalies during simulation. - Visualization: Demonstrating how to visualize real-time data analytics using tools compatible with Apache Ignite. Audience Takeaways: - Understanding of how to integrate real-time data sources, like FlightGear, with Apache Ignite. - Knowledge of setting up and configuring Apache Ignite for real-time data ingestion and analysis. - Insights into processing and analyzing streaming data using Ignite's in-memory computing features. - Practical examples of monitoring and visualizing in-flight data parameters in real-time.
Satej Sahu
Satej works as Principal Data Engineer at Zalando SE with over 14 years of experience in the industry. He has worked with renowned organizations such as Boeing, Adidas, Honeywell specializing in architecture, big data and machine learning use cases. With a strong track record of architecting scalable and efficient systems, Satej has successfully delivered data-driven and ML applied solutions.