td-convolution
OfficialSignal processing with Teradata UAF
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates complex signal processing and filtering tasks on large time-series datasets within Teradata, enabling advanced analytics without manual SQL coding.
Core Features & Use Cases
- Convolution Operations: Perform advanced signal convolution using Teradata's Unbounded Array Framework (UAF).
- Time Series Analysis: Scalable analysis for millions of products or billions of IoT sensors.
- Use Case: Analyze sensor data from industrial equipment to detect anomalies or predict failures by applying convolution filters to identify specific signal patterns.
Quick Start
Analyze time series table: my_database.sensor_data with timestamp column and value columns.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: td-convolution Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-convolution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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