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semantic-layer-setup

Official

Build Databricks Semantic Layer End-to-End

Data & Analytics#data modeling#orchestration#semantic layer#databricks#genie#metric views#tvf
Authordatabricks-solutions
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the creation of a robust Databricks semantic layer, enabling users to define metrics, create reusable functions, and set up AI-powered data exploration spaces efficiently.

Core Features & Use Cases

  • Metric Views: Define business metrics and dimensions using YAML for discoverability and consistency.
  • Table-Valued Functions (TVFs): Develop parameterized SQL functions for dynamic data access in Genie.
  • Genie Spaces: Configure AI agent environments with curated data assets and benchmark questions for natural language querying.
  • Use Case: A data team needs to expose key business metrics (e.g., Monthly Recurring Revenue, Customer Lifetime Value) and create standardized data access functions for their AI assistant (Genie) to answer business questions accurately and consistently.

Quick Start

Use the semantic-layer-setup skill to build the semantic layer for the 'wanderbricks' project.

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: semantic-layer-setup
Download link: https://github.com/databricks-solutions/vibe-coding-workshop-template/archive/main.zip#semantic-layer-setup

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