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Multi-Cloud Lakehouse Blueprint

$69

Architecture blueprint and Terraform templates for Databricks on Azure + AWS with unified governance, cost management, and Delta Sharing.

📁 17 files🏷 v1.0.0

Production-ready

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

📋 What's Inside 17 files

✓ README.md— Product overview and quick-start guide
✓ manifest.json— Product manifest
✓ docs/architecture_decision_records.md— Architecture Decision Records for multi-cloud lakehouse adoption
✓ docs/network_architecture.md— Cross-cloud connectivity patterns including VPN and peering
✓ docs/identity_federation.md— Azure AD and AWS IAM federation configuration guide
✓ docs/compliance_matrix.md— GDPR and data residency compliance matrix across jurisdictions
✓ docs/migration_guide.md— Guide for extending Azure-only deployments to multi-cloud
✓ terraform/azure/main.tf— Databricks on Azure Terraform module with VNet injection
✓ terraform/azure/variables.tf— Azure Terraform variable definitions
✓ terraform/azure/outputs.tf— Azure Terraform output definitions
✓ terraform/aws/main.tf— Databricks on AWS Terraform module with VPC configuration
✓ terraform/aws/variables.tf— AWS Terraform variable definitions
✓ terraform/aws/outputs.tf— AWS Terraform output definitions
✓ terraform/shared/unity-catalog-multicloud.tf— Unity Catalog multi-cloud configuration with Delta Sharing
✓ cicd/multi-cloud-pipeline.yml— Unified CI/CD pipeline for deploying to Azure and AWS

📁 File Structure 17 files

multi-cloud-lakehouse-blueprint/
├── README.md
├── manifest.json
├── docs/
│ ├── architecture_decision_records.md
│ ├── network_architecture.md
│ ├── identity_federation.md
│ ├── compliance_matrix.md
│ ├── migration_guide.md
├── terraform/
│ ├── azure/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ ├── outputs.tf
│ ├── aws/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ ├── outputs.tf
│ ├── shared/
│ │ ├── unity-catalog-multicloud.tf
├── cicd/
│ ├── multi-cloud-pipeline.yml
├── tools/
│ ├── cost_comparison_model.py
├── dr/
│ ├── disaster_recovery_patterns.md

📖 Documentation Preview README excerpt

Multi-Cloud Lakehouse Blueprint

Product by [Datanest Digital](https://datanest.dev)

Overview

The Multi-Cloud Lakehouse Blueprint is a production-ready architecture package for

organizations building or extending a Databricks Lakehouse across both Microsoft Azure

and Amazon Web Services (AWS). It provides battle-tested Terraform modules, CI/CD

pipelines, governance configurations, and operational runbooks that eliminate months

of cross-cloud integration work.

Who Is This For?

**Platform engineers** tasked with deploying Databricks workspaces across Azure and AWS

**Data architects** designing multi-cloud data mesh or lakehouse topologies

**Cloud architects** evaluating or implementing cross-cloud disaster recovery

**Engineering managers** who need cost models and architecture decision records to

justify multi-cloud investments to leadership

What's Included

Documentation

Document	Description
`docs/architecture_decision_records.md`	12 ADRs covering when and why to adopt multi-cloud lakehouse
`docs/network_architecture.md`	Cross-cloud connectivity patterns — VPN, peering, Private Link
`docs/identity_federation.md`	Azure AD + AWS IAM federation with SCIM provisioning
`docs/compliance_matrix.md`	GDPR, CCPA, data residency requirements across jurisdictions
`docs/migration_guide.md`	Step-by-step guide to extend Azure-only deployments to multi-cloud

Terraform Modules

Module	Description
`terraform/azure/`	Databricks workspace on Azure with VNet injection and Private Link
`terraform/aws/`	Databricks workspace on AWS with VPC, NAT, and PrivateLink
`terraform/shared/unity-catalog-multicloud.tf`	Unity Catalog with cross-cloud Delta Sharing

CI/CD

Pipeline	Description
`cicd/multi-cloud-pipeline.yml`	Unified Azure DevOps pipeline deploying to both clouds

Tools

Tool	Description
`tools/cost_comparison_model.py`	Interactive Azure vs AWS DBU pricing comparison calculator

Disaster Recovery

Runbook	Description
`dr/disaster_recovery_patterns.md`	Active-passive cross-cloud DR patterns and failover procedures

Architecture Overview

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

📄 Code Sample .py preview

tools/cost_comparison_model.py#!/usr/bin/env python3 """ Multi-Cloud Lakehouse Blueprint — Cost Comparison Model Datanest Digital — https://datanest.dev Interactive tool for comparing Databricks costs between Azure and AWS. Covers DBU pricing, compute, storage, networking, and total cost of ownership. """ from __future__ import annotations import argparse import json import sys from dataclasses import dataclass, field from enum import Enum from typing import Optional class WorkloadType(Enum): """Databricks workload types with associated DBU multipliers.""" JOBS_COMPUTE = "Jobs Compute" ALL_PURPOSE = "All Purpose" JOBS_LIGHT = "Jobs Light" SQL_CLASSIC = "SQL Classic" SQL_PRO = "SQL Pro" SQL_SERVERLESS = "SQL Serverless" DELTA_LIVE_TABLES_CORE = "DLT Core" DELTA_LIVE_TABLES_PRO = "DLT Pro" DELTA_LIVE_TABLES_ADVANCED = "DLT Advanced" MODEL_SERVING = "Model Serving" @dataclass class DBUPricing: """DBU pricing per workload type for a specific cloud.""" cloud: str rates: dict[WorkloadType, float] = field(default_factory=dict)

📅 Changelog

v1.0.0 — Initial release.

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

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