Fast Fourier Transform (FFT) of Time Series in Kafka Streams

Explore the power of Kafka Streams for digital signal processing in this 43-minute presentation. Discover how to transform signals from the time domain to the frequency domain using Fast Fourier Transform (FFT), enabling precise frequency alert systems and maximizing input signal compression. Learn about signal imitators of periodic waveforms compliant with OpenMetrics standards, logical operator pipelines simulating joined superposition of signal inputs, and FFT processors for converting signals into spectral components. Gain insights into real-time visualization of FFT input signals using Prometheus and Grafana. By the end, acquire the fundamental knowledge and tools necessary to implement FFT in Kafka Streams, opening new possibilities for IoT applications by bringing computational power closer to data origin.

Fast Fourier Transform (FFT) of Time Series in Kafka Streams