synthetic-data-generation
CommunityGenerate realistic synthetic data for Databricks
AuthorLaurentPRAT-DB
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the creation of realistic, story-driven synthetic data for Databricks, essential for testing, demos, and populating data pipelines.
Core Features & Use Cases
- Realistic Data Generation: Uses Faker and Spark to create data with non-linear distributions, integrity constraints, and temporal patterns.
- Databricks Integration: Saves generated data as parquet files into Databricks Volumes.
- Use Case: Generate 10,000 customer records, 50,000 orders, and 20,000 support tickets with realistic attributes and temporal distributions for a new product demo.
Quick Start
Use the synthetic-data-generation skill to create customer, order, and ticket data and save it to the my_catalog.my_schema.raw_data volume.
Dependency Matrix
Required Modules
fakerholidayspyspark
Components
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: synthetic-data-generation Download link: https://github.com/LaurentPRAT-DB/LPT_claude_config/archive/main.zip#synthetic-data-generation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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