td-fft

What problem does it solve?

This Skill automates the complex process of performing Fast Fourier Transforms (FFT) on time series data, enabling deep analysis of signal frequencies and patterns without requiring expert knowledge of the Teradata Unbounded Array Framework (UAF).

Core Features & Use Cases

• Frequency Domain Analysis: Decomposes time series signals into their constituent frequencies.
• Spectral Decomposition: Identifies dominant frequencies, harmonics, and noise components.
• Use Case: Analyze sensor data from industrial machinery to detect abnormal vibrations at specific frequencies, predicting potential equipment failure before it occurs.

Quick Start

Analyze the time series table 'database.sensor_data' with its timestamp and value columns using the td-fft skill.