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demo-dataquality-metrics

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Monitor data quality in real-time with automated metrics and dashboards.

Data & Analytics#data quality#dashboard#Streamlit#Snowflake#data monitoring#DMFs
Authorsfc-gh-miwhitaker
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of maintaining high data quality across large datasets by providing automated monitoring and reporting.

Core Features & Use Cases

  • Automated Data Quality Monitoring: Uses Snowflake Data Metric Functions (DMFs) to track quality in real-time.
  • Custom DMFs: Enables users to create and apply custom DMFs for domain-specific validations.
  • Streamlit Dashboard: Offers a user-friendly interface for viewing quality scores, trends, and system DMFs.
  • Use Case: Ideal for sports analytics teams looking to track athlete performance and fan engagement metrics.

Quick Start

Deploy the demo-dataquality-metrics skill to start monitoring data quality for your dataset.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 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: demo-dataquality-metrics
Download link: https://github.com/sfc-gh-miwhitaker/sfe-public/archive/main.zip#demo-dataquality-metrics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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