timeseries-databases
CommunityAnalyze time-stamped data at scale.
Authormefardales
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides patterns and best practices for efficiently storing, querying, and analyzing time-series data, crucial for applications dealing with metrics, IoT, and financial data.
Core Features & Use Cases
- Database Patterns: Covers TimescaleDB (PostgreSQL extension) and InfluxDB.
- Data Modeling: Guidance on wide vs. narrow table structures.
- Optimization: Strategies for downsampling, compression, and retention policies.
- Querying: Examples for time bucketing, continuous aggregates, moving averages, and rate of change.
- Use Case: Building a system to monitor server metrics, ingest IoT sensor readings, or analyze high-frequency financial trading data.
Quick Start
Use the timeseries-databases skill to learn how to create a hypertable in TimescaleDB for storing sensor data.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: timeseries-databases Download link: https://github.com/mefardales/skillbox/archive/main.zip#timeseries-databases Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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