Contents

Chapter 1

Overview

This chapter covers the core features and capabilities of Data Mesh Starter Kit.

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

FileDescription
assessment/maturity_assessment.md50-question data mesh maturity assessment with scoring rubric across 5 capability dimensions
assessment/scoring_calculator.pyPython CLI tool that calculates maturity scores, generates radar charts, and produces recommendations

Workshop Templates

FileDescription
workshops/domain_decomposition.mdFacilitated workshop for identifying domain boundaries, data product candidates, and ownership mapping
workshops/stakeholder_alignment.mdWorkshop template for building consensus on data mesh adoption across leadership and engineering

Infrastructure as Code

FileDescription
terraform/domain-workspace/main.tfTerraform module for provisioning isolated domain workspaces with storage, compute, catalog, and access controls
terraform/domain-workspace/variables.tfConfigurable variables for cloud provider, domain naming, resource sizing, and tagging
terraform/domain-workspace/outputs.tfModule outputs for integration with CI/CD pipelines and service catalogs

Data Product Templates

FileDescription
templates/data_product_template.pyStandardized data product interface for Databricks notebooks with schema contracts, SLA definitions, and quality checks
templates/data_product_scorecard.mdQuality scorecard for evaluating data products across discoverability, usability, trustworthiness, and interoperability

Governance Framework

FileDescription
governance/federated_governance_model.mdFederated governance framework balancing central standards with domain autonomy
governance/platform_team_responsibilities.mdPlatform team role definitions, RACI matrix, and interface contracts with domain teams

Communication Templates

FileDescription
communication/data_product_catalog.mdTemplate for publishing and communicating data products in an internal catalog
communication/domain_agreements.mdDomain agreement and SLA templates for producer-consumer relationships

Case Study

FileDescription
case_study/transition_case_study.mdFictional but realistic case study of a mid-size organization transitioning from centralized data to data mesh
Chapter 2

Getting Started

Follow this guide to get Data Mesh Starter Kit up and running in your environment.

Getting Started

1. Assess Readiness

Start with the maturity assessment to understand where your organization stands:

bash
# Complete the assessment questionnaire
# Then run the scoring calculator
python assessment/scoring_calculator.py --input answers.json --output report.json

2. Run Discovery Workshops

Use the workshop templates to facilitate domain decomposition and stakeholder alignment sessions. Both templates include facilitation guides, time-boxed agendas, and artifact templates.

3. Provision Infrastructure

Customize the Terraform module for your cloud provider and deploy domain workspaces:

bash
cd terraform/domain-workspace
terraform init
terraform plan -var="domain_name=orders" -var="environment=dev"
terraform apply

4. Build Data Products

Use the data product template as a starting point for each domain's first data product. Score it against the quality scorecard.

5. Establish Governance

Adopt the federated governance model and define platform team responsibilities. Use the communication templates to formalize domain agreements.

Requirements

  • Python 3.9+ for the scoring calculator
  • Terraform 1.5+ for infrastructure modules
  • Databricks Runtime 13.0+ for data product templates (optional — adaptable to other platforms)
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Customization

Chapter 4
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