td-powerspec

What problem does it solve?

This Skill automates the complex process of power spectrum analysis on time series data, enabling users to detect underlying frequencies, periodicities, and seasonality without deep expertise in signal processing or the Teradata Unbounded Array Framework (UAF).

Core Features & Use Cases

• Power Spectrum Analysis: Computes the power spectral density of time series data to identify dominant frequencies.
• Periodicity Detection: Helps uncover cyclical patterns and hidden periodicities within your data.
• UAF Integration: Leverages Teradata's Unbounded Array Framework for scalable and efficient processing of large datasets.
• Use Case: Analyze sensor data from industrial machinery to detect vibrations at specific frequencies that might indicate an impending failure.

Quick Start

Analyze the power spectrum of the 'sensor_data' table in the 'my_database' database using the 'timestamp_col' and 'value_col'.