Enhance README with enterprise analytics engineering docs - #38
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| database: dbt_db | ||
| schema: dbo | ||
| user: sa | ||
| password: 'YourStrong!Password123' |
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When a new user follows the documented defaults—copies .env.example, starts Compose, and uses this profile—the SQL Server container is initialized with MSSQL_SA_PASSWORD=YourStrong!Passw0rd, while this profile attempts YourStrong!Password123. Consequently dbt debug and every subsequent dbt command fail authentication; use the same value or, preferably, retain the environment-variable-based profile.
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| ### 3. Start SQL Server | ||
| Edit `~/.dbt/profiles.yml` or set environment variables in your `.env`: |
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The documented alternative of placing the database variables in .env does not make them available to dbt: Compose reads .env, but dbt receives only its process environment, and the copied profiles.example.yml requires DBT_SQLSERVER_PASSWORD via env_var with no default. Thus users who follow this route without also sourcing/exporting the file fail at dbt debug; add an export/source step or direct users to edit the copied profile.
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Transformed README.md into an enterprise-grade Analytics Engineering documentation hub. Features tech stack badges, visual Medallion Architecture ASCII diagrams, detailed project directory breakdowns, layer strategies (Bronze/Silver/Gold), custom macro descriptions, testing framework details, Docker setup instructions, and GitHub Actions CI/CD pipeline descriptions. Strictly only README.md was changed per user request.
PR created automatically by Jules for task 2858565933072348297 started by @Ritik574-coder