Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes.
Install
npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gennpx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a claude-code -gnpx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a codex -ggemini skills install https://github.com/databricks/databricks-agent-skills.git --path skills/databricks-synthetic-data-gengh skill install databricks/databricks-agent-skills databricks-synthetic-data-gengit clone --depth 1 https://github.com/databricks/databricks-agent-skills /tmp/databricks__databricks-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/databricks__databricks-agent-skills/skills/databricks-synthetic-data-gen ~/.claude/skills/databricks-synthetic-data-gen # Claude Code
cp -R /tmp/databricks__databricks-agent-skills/skills/databricks-synthetic-data-gen ~/.agents/skills/databricks-synthetic-data-gen # Codex, Cursor, Gemini CLI, Copilot, OpenCode