IoT and Stream Processing - Real-Time Data Analysis on the Edge

Explore IoT and stream processing in this conference talk that delves into data analysis for IoT applications. Learn about the importance of logging in collecting and pre-processing data, and discover the advantages of stream processing for real-time analysis. Gain insights into an extended approach called 'Stream Processing on the Edge,' which enables lightweight data processing on edge devices or services. Understand how this technique empowers features like rapid anomaly detection and distributed machine learning using open-source software in embedded Linux environments. Follow along as the speaker covers topics such as challenges in IoT data processing, logging mechanisms, performance considerations, and implementation strategies. Witness two demonstrations showcasing the practical applications of these concepts, and explore the use of plugins and internal I/O in IoT stream processing systems.

Introduction
Challenges
Stream Processing
How Stream Processing Works
Logging
Performance
Implementation
First Demo
Second Demo
Questions
Plugins
Internal IO