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registros novos  \n  - registros alterados  \n  - registros removidos  \n- Sincronização incremental no BigQuery  \n- Controle de `ingestion_timestamp`\n\nArquivo principal:\n```\n\ningestion/main.py\n\n```\n\n---\n\n## 🔄 Transformações (Silver / Gold – Dataform)\n\n### Silver  \nNormalização e tipagem dos dados brutos:\n\n- Conversão de tipos  \n- Padronização de campos  \n- Filtros de qualidade  \n- Incremental por `dt_ingestao`\n\nExemplo:\n```\n\ndataform/definitions/silver/tb_silver_preco_gasolina_mensal_2013_2019.sqlx\n\n```\n\n---\n\n### Gold  \nModelo analítico final:\n\n- União de períodos históricos  \n- Criação de chave surrogate (FARM_FINGERPRINT)  \n- Dimensões temporais (ano, mês, nome do mês)  \n- Métricas consolidadas para análise\n\nExemplo:\n```\n\ndataform/definitions/gold/tb_gold_precos_combustiveis_mensal.sqlx\n\n````\n\n---\n\n## ▶️ Como rodar o projeto\n\n### 1️⃣ Criar e ativar ambiente virtual\n\n```bash\npython -m venv venv\n.\\venv\\Scripts\\Activate.ps1\n````\n\n### 2️⃣ Instalar dependências\n\n```bash\npip install -r ingestion/requirements.txt\n```\n\n### 3️⃣ Configurar credenciais\n\nDefina as variáveis de ambiente:\n\n```bash\nsetx GOOGLE_APPLICATION_CREDENTIALS \"CAMINHO/DA/SUA/CHAVE.json\"\nsetx PROJECT_ID \"gas-price-482120\"\n```\n\n### 4️⃣ Executar ingestão\n\n```bash\npython ingestion/main.py\n```\n\n---\n\n## 🔐 Segurança\n\n* Conexão com SQL Server via Secret Manager\n* Nenhuma credencial versionada no repositório\n* Variáveis sensíveis via ambiente (.env ou variáveis do sistema)\n\n---\n\n## 📁 Estrutura do projeto\n\n```\nsqlserver-to-bigquery-medallion/\n│\n├── dataform/\n│   ├── definitions/\n│   │   ├── bronze/\n│   │   ├── silver/\n│   │   └── gold/\n│   ├── includes/\n│   └── workflow_settings.yaml\n│\n├── ingestion/\n│   ├── config.py\n│   ├── database.py\n│   ├── google_client.py\n│   ├── main.py\n│   └── requirements.txt\n│\n├── diagrams/\n│   └── architecture.png\n│\n├── .gitignore\n└── README.md\n```\n\n---\n\n## 🚀 Próximos passos\n\n* Orquestração com Cloud Composer / Airflow\n* Substituir deletes linha-a-linha por MERGE no BigQuery\n* Criação de camada de métricas para BI\n* Monitoramento de falhas e reprocessamento automático\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanahimamani%2Fgcp-sqlserver-to-bigquery-medallion","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanahimamani%2Fgcp-sqlserver-to-bigquery-medallion","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanahimamani%2Fgcp-sqlserver-to-bigquery-medallion/lists"}