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databricks-synthetic-data-generation

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Generate realistic synthetic data for Databricks.

Data & Analytics#faker#spark#data-generation#data-pipelines#databricks#synthetic-data#test-datasets
Authordatasciencemonkey
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Generate realistic synthetic data for Databricks to power test datasets and demonstrations.

Core Features & Use Cases

  • Generate synthetic data with Faker and Spark, including non-linear distributions and temporal patterns.
  • Preserve referential integrity across related tables (customers, orders, tickets) and optional business rules.
  • Save outputs to Databricks volumes for downstream Spark Declarative Pipelines (SDP) and dashboards.

Quick Start

Save the generator script as scripts/generate_data.py and run it on your Databricks cluster.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: databricks-synthetic-data-generation
Download link: https://github.com/datasciencemonkey/coding-agents-databricks-apps/archive/main.zip#databricks-synthetic-data-generation

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