Databricks Notebook Framework

Databricks Notebook Framework

Production-grade notebook development framework for Databricks Lakehouse

By [Datanest Digital](https://datanest.dev) | Version 1.0.0 | $59

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What You Get

A complete, battle-tested framework for building Databricks notebooks that follow medallion architecture best practices. Stop reinventing the wheel on every project — start with production-ready templates that handle logging, error handling, data quality, configuration, and CI/CD out of the box.

Key Features

• Medallion Architecture Templates — Bronze, Silver, and Gold layer notebook templates with real-world patterns
• Incremental & Full-Refresh Modes — Built-in watermark-based incremental ingestion with fallback to full refresh
• Data Quality Framework — Null checks, uniqueness validation, referential integrity, and freshness monitoring
• SCD Type 2 Support — Slowly changing dimension logic ready to use in Silver layer transformations
• Structured Logging — Consistent, queryable logging across all notebooks with run context capture
• Configuration Management — Widget-based parameters with environment variable fallbacks
• Secrets Management — Unified interface for Databricks secret scopes and Azure Key Vault
• Testing Framework — Nutter-pattern testing with pytest integration and mock fixtures
• CI/CD Ready — Pre-commit hooks, DABs bundle configuration, and deployment templates
• Development Standards — Comprehensive notebook standards document for team alignment

File Listing

databricks-notebook-framework/
├── README.md                              # This file
├── manifest.json                          # Package manifest
│
├── notebooks/
│   ├── bronze_ingest_template.py          # Bronze layer ingestion template
│   ├── silver_transform_template.py       # Silver layer transformation template
│   └── gold_aggregate_template.py         # Gold layer aggregation template
│
├── utils/
│   ├── logging_utils.py                   # Structured logging module
│   ├── config_manager.py                  # Widget & environment config management
│   ├── quality_checks.py                  # Data quality validation functions
│   └── secrets_manager.py                 # Secrets retrieval wrapper
│
├── testing/
│   ├── test_framework.py                  # Nutter-pattern notebook testing framework
│   └── conftest.py                        # Pytest fixtures with mock dbutils & spark
│
├── cicd/
│   ├── pre-commit-config.yaml             # Pre-commit hooks for notebook linting
│   └── databricks.yml                     # DABs bundle configuration template
│
├── standards/
│   └── NOTEBOOK_STANDARDS.md              # Notebook development standards
│
└── project-scaffold/
    └── README.md                          # Quick-start scaffold instructions

Getting Started

... continues with setup instructions, usage examples, and more.