Databricks Notebook Framework

$59

Production-grade notebook development framework with structured project templates, reusable utility modules, testing patterns, and CI/CD integration for Databricks.

📁 29 files🏷 v2.1.0 (updated 2026-07-30)

Production-ready

✓ Instant download✓ Lifetime updates✓ MIT licensed✓ MIT license✓ Secure checkout (Stripe)

📋 What's Inside 29 files

✓ README.md—
✓ manifest.json—
✓ notebooks/bronze_ingest_template.py—
✓ notebooks/silver_transform_template.py—
✓ notebooks/gold_aggregate_template.py—
✓ ingestion_templates/base_pipeline.py—
✓ ingestion_templates/api_ingestion.py—
✓ ingestion_templates/database_ingestion.py—
✓ ingestion_templates/file_ingestion.py—
✓ ingestion_templates/streaming_ingestion.py—
✓ unity_catalog_setup/setup_catalogs.sql—
✓ unity_catalog_setup/setup_credentials.sql—
✓ unity_catalog_setup/setup_external_locations.sql—
✓ unity_catalog_setup/data_governance_policies.md—
✓ medallion_bootstrap/config.py—

📁 File Structure 29 files

databricks-notebook-framework/
├── README.md
├── manifest.json
├── notebooks/
│ ├── bronze_ingest_template.py
│ ├── silver_transform_template.py
│ ├── gold_aggregate_template.py
├── ingestion_templates/
│ ├── base_pipeline.py
│ ├── api_ingestion.py
│ ├── database_ingestion.py
│ ├── file_ingestion.py
│ ├── streaming_ingestion.py
├── unity_catalog_setup/
│ ├── setup_catalogs.sql
│ ├── setup_credentials.sql
│ ├── setup_external_locations.sql
│ ├── data_governance_policies.md
├── medallion_bootstrap/
│ ├── config.py
│ ├── 01_create_catalogs.py
│ ├── 02_create_schemas.py
│ ├── 03_grant_permissions.py
├── utils/
│ ├── logging_utils.py
│ ├── config_manager.py
│ ├── quality_checks.py
│ ├── secrets_manager.py
│ ├── environment.py
├── testing/
│ ├── test_framework.py
│ ├── conftest.py
├── cicd/
│ ├── pre-commit-config.yaml
│ ├── databricks.yml
├── standards/
│ ├── NOTEBOOK_STANDARDS.md
├── project-scaffold/
│ ├── README.md

📖 Documentation Preview README excerpt

Databricks Notebook Framework

Production-grade notebook development framework for Databricks Lakehouse

By [Datanest Digital](https://datanest.dev) | Version 2.0.0 | $59

---

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

**Ingestion Pipeline Templates** — OOP-based pipeline classes for API, database, file, and streaming ingestion with merge/append/overwrite write modes, deduplication, and metadata columns

**Streaming Ingestion** — Azure Event Hub and Apache Kafka ingestion with checkpoint management, OAuth/SASL auth, and configurable triggers

**Unity Catalog Setup** — SQL scripts for catalog creation, storage credentials, external locations, and data governance policies

**Medallion Bootstrap** — Programmatic catalog/schema/RBAC setup with configurable environments and group-based permissions

**Environment Detection** — Auto-detect Databricks workspace environment (dev/staging/prod) with storage config, catalog prefix resolution, and Key Vault integration

**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
│
├── ingestion_templates/
│   ├── base_pipeline.py                   # Abstract base pipeline class (merge/append/overwrite)
│   ├── api_ingestion.py                   # REST API ingestion with pagination & retry
│   ├── database_ingestion.py              # JDBC database ingestion (full/incremental)
│   ├── file_ingestion.py                  # File-based ingestion (CSV, JSON, Parquet, etc.)
│   └── streaming_ingestion.py             # Event Hub / Kafka streaming ingestion
│
├── unity_catalog_setup/
│   ├── setup_catalogs.sql                 # SQL to create Unity Catalog catalogs
│   ├── setup_credentials.sql              # Storage credential configuration
│   ├── setup_external_locations.sql       # External location definitions
│   └── data_governance_policies.md        # Data governance policy documentation
│
├── medallion_bootstrap/
│   ├── config.py                          # Bootstrap configuration (catalogs, schemas, groups)
│   ├── 01_create_catalogs.py              # Step 1: Create Unity Catalog catalogs
│   ├── 02_create_schemas.py               # Step 2: Create schemas in each catalog
│   └── 03_grant_permissions.py            # Step 3: Grant RBAC permissions to groups

... preview truncated, see full README in product download.

`📄 Code Sample .py preview`

notebooks/bronze_ingest_template.py# Databricks notebook source
# COMMAND ----------

# MAGIC %md
# MAGIC # Bronze Layer Ingestion Template
# MAGIC
# MAGIC **Framework**: Databricks Notebook Framework by [Datanest Digital](https://datanest.dev)
# MAGIC
# MAGIC ## Purpose
# MAGIC Ingest raw data from source into the Bronze layer of the Lakehouse.
# MAGIC Supports both incremental (watermark-based) and full-refresh modes.
# MAGIC
# MAGIC ## Parameters
# MAGIC | Widget | Description | Default |
# MAGIC |--------|-------------|---------|
# MAGIC | catalog | Unity Catalog name | `dev` |
# MAGIC | schema | Target schema | `bronze` |
# MAGIC | source | Source identifier / table name | *(required)* |
# MAGIC | watermark_column | Column for incremental loads | `modified_at` |
# MAGIC | run_mode | `incremental` or `full_refresh` | `incremental` |

# COMMAND ----------

# MAGIC %md
# MAGIC ## Setup & Configuration

# COMMAND ----------

import uuid
import json
from datetime import datetime, timezone
from pyspark.sql import functions as F
from pyspark.sql.types import TimestampType, StringType

# COMMAND ----------

# Widget Parameters
dbutils.widgets.text("catalog", "dev", "Target Catalog")
dbutils.widgets.text("schema", "bronze", "Target Schema")
dbutils.widgets.text("source", "", "Source Identifier")

`📅 Changelog`

v2.1.0 — Interactive demo rebuilt: medallion pipeline simulation with quality gates, bundled 22-row order dataset, Bronze/Silver/Gold processing.

v2.0.0 — Initial release. Last updated 2026-03-12.

Purchases include lifetime updates. Check the product page for the latest version.

`📄 Product Preview`

Try the interactive reader and demo tools below, or get the full product with all content unlocked.

📖 Interactive Reader (Free Preview)⚙ Try Demo Tools📦 Download Free Sample

`❓ Frequently Asked Questions`

What license is this under?

MIT License. You can use it in commercial, client, and internal projects. See our license terms page for details.

How do I download after purchase?

Immediately after purchase, you'll be redirected to a download page. A download link is also sent to your email.

Do I get updates?

Yes. All products include lifetime updates at no extra cost. Re-download anytime for the latest version.

What if it doesn't work for me?

DM @DatanestDigital on X and we'll make it right.

Can I get a refund?

DM @DatanestDigital on X with your order number and we'll help.

Is there support?

DM @DatanestDigital on X. We respond within 1-2 business days.



      
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