td-correlation

What problem does it solve?

This Skill automates the complex process of analyzing time series data to detect similarities and time delays between signals, enabling deeper insights into patterns and relationships.

Core Features & Use Cases

• Signal Correlation: Perform advanced correlation analysis on time series data using Teradata's Unbounded Array Framework (UAF).
• Delay Detection: Identify and quantify time lags between different signals.
• Similarity Analysis: Measure how alike different time series are over specified periods.
• Use Case: Analyze sensor data from multiple machines to detect when a performance anomaly in one machine precedes an anomaly in another, helping to predict and prevent cascading failures.

Quick Start

Analyze time series table: my_database.sensor_readings with timestamp column and value columns.