metric-views-patterns
OfficialStandardize semantic layer metric views for Genie.
Authordatabricks-solutions
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a standardized approach to creating Databricks Metric Views, ensuring consistency, discoverability, and optimal performance for AI/BI tools like Genie.
Core Features & Use Cases
- Metric View Creation: Generates YAML definitions for Databricks Metric Views.
- Schema Validation: Includes scripts to validate column references against source tables before deployment.
- Join Patterns: Demonstrates how to implement direct and snowflake schema joins.
- Use Case: When building a semantic layer for a data product, use this Skill to define key business metrics (e.g., Total Revenue, Active Users) in a way that Genie can easily understand and query using natural language.
Quick Start
Use the metric-views-patterns skill to create a new metric view YAML file for sales performance.
Dependency Matrix
Required Modules
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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: metric-views-patterns Download link: https://github.com/databricks-solutions/vibe-coding-workshop-template/archive/main.zip#metric-views-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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