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Data Mesh Starter Kit

$69

Organizational and technical toolkit for data mesh: maturity assessment, domain decomposition, self-serve templates, and federated governance.

📁 16 files🏷 v1.0.0

Production-ready

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

📋 What's Inside 16 files

✓ README.md—
✓ manifest.json—
✓ assessment/maturity_assessment.md—
✓ assessment/scoring_calculator.py—
✓ workshops/domain_decomposition.md—
✓ workshops/stakeholder_alignment.md—
✓ terraform/domain-workspace/main.tf—
✓ terraform/domain-workspace/variables.tf—
✓ terraform/domain-workspace/outputs.tf—
✓ templates/data_product_template.py—
✓ templates/data_product_scorecard.md—
✓ governance/federated_governance_model.md—
✓ governance/platform_team_responsibilities.md—
✓ communication/data_product_catalog.md—
✓ communication/domain_agreements.md—

📁 File Structure 16 files

data-mesh-starter-kit/
├── README.md
├── manifest.json
├── assessment/
│ ├── maturity_assessment.md
│ ├── scoring_calculator.py
├── workshops/
│ ├── domain_decomposition.md
│ ├── stakeholder_alignment.md
├── terraform/
│ ├── domain-workspace/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ ├── outputs.tf
├── templates/
│ ├── data_product_template.py
│ ├── data_product_scorecard.md
├── governance/
│ ├── federated_governance_model.md
│ ├── platform_team_responsibilities.md
├── communication/
│ ├── data_product_catalog.md
│ ├── domain_agreements.md
├── case_study/
│ ├── transition_case_study.md

📖 Documentation Preview README excerpt

Data Mesh Starter Kit

Product ID: data-mesh-starter-kit

Version: 1.0.0

Price: $69 USD

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

Category: Data Engineering

---

Overview

The Data Mesh Starter Kit is a comprehensive, practitioner-focused toolkit for organizations transitioning from centralized data architectures to a domain-oriented data mesh. It provides assessments, workshop templates, Terraform infrastructure modules, governance frameworks, and communication templates — everything a data engineering team needs to plan, execute, and sustain a data mesh adoption.

This kit is designed for:

**Data Platform Engineers** building self-serve infrastructure for domain teams

**Data Architects** designing federated ownership models

**Engineering Managers** aligning stakeholders on data mesh principles

**CTOs and VPs of Engineering** evaluating data mesh readiness

What's Included

Assessment Tools

File	Description
`assessment/maturity_assessment.md`	50-question data mesh maturity assessment with scoring rubric across 5 capability dimensions
`assessment/scoring_calculator.py`	Python CLI tool that calculates maturity scores, generates radar charts, and produces recommendations

Workshop Templates

File	Description
`workshops/domain_decomposition.md`	Facilitated workshop for identifying domain boundaries, data product candidates, and ownership mapping
`workshops/stakeholder_alignment.md`	Workshop template for building consensus on data mesh adoption across leadership and engineering

Infrastructure as Code

File	Description
`terraform/domain-workspace/main.tf`	Terraform module for provisioning isolated domain workspaces with storage, compute, catalog, and access controls
`terraform/domain-workspace/variables.tf`	Configurable variables for cloud provider, domain naming, resource sizing, and tagging
`terraform/domain-workspace/outputs.tf`	Module outputs for integration with CI/CD pipelines and service catalogs

Data Product Templates

File	Description
`templates/data_product_template.py`	Standardized data product interface for Databricks notebooks with schema contracts, SLA definitions, and quality checks
`templates/data_product_scorecard.md`	Quality scorecard for evaluating data products across discoverability, usability, trustworthiness, and interoperability

Governance Framework

File	Description
`governance/federated_governance_model.md`	Federated governance framework balancing central standards with domain autonomy
`governance/platform_team_responsibilities.md`	Platform team role definitions, RACI matrix, and interface contracts with domain teams

Communication Templates

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

📄 Code Sample .py preview

assessment/scoring_calculator.py#!/usr/bin/env python3 """ Data Mesh Maturity Assessment — Scoring Calculator =================================================== Datanest Digital (https://datanest.dev) Data Mesh Starter Kit v1.0.0 Reads a JSON answer file produced from the maturity assessment and generates scored reports in JSON, text, or CSV format. Usage: python scoring_calculator.py --input answers.json python scoring_calculator.py --input answers.json --format text python scoring_calculator.py --input answers.json --format csv --output scores.csv python scoring_calculator.py --input answers.json --output report.json """ from __future__ import annotations import argparse import csv import io import json import sys from dataclasses import dataclass, field from datetime import datetime from pathlib import Path from typing import Any # --------------------------------------------------------------------------- # Constants # --------------------------------------------------------------------------- DIMENSIONS: dict[str, dict[str, Any]] = { "D1": { "name": "Domain Ownership & Decomposition", "questions": [f"Q{i}" for i in range(1, 11)], }, "D2": { "name": "Data as a Product",

📅 Changelog

v1.0.0 — Initial release.

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

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