Data Mesh and Data Product Management

Course Category : Data Management

An advanced programme for redesigning enterprise data management through Data Mesh principles and building trustworthy, discoverable data products that support analytics, AI, and informed decision-making.
Duration: 5 Days | Level: Advanced

Introduction

As data-driven organisations scale, conventional centralised approaches to data platforms and warehouses increasingly encounter challenges related to ownership, accessibility, quality, and responsiveness to business requirements. Data Mesh introduces an organisational and architectural paradigm that distributes data ownership across business domains while treating data as products with defined users, quality expectations, and accountability.
This course examines the strategic and architectural foundations of Data Mesh and data product management, including domain-oriented ownership, data product design, self-service data platforms, federated governance, and product lifecycle management. It connects technical and business responsibilities to establish scalable data ecosystems capable of supporting analytics, AI, and enterprise decision-making..

Targeted Audience

Chief Data Officers and Data Managers
Data Engineering and Data Architecture Managers
Digital Transformation and Analytics Leaders
Data Governance and Data Quality Professionals
Data Product Owners and Digital Product Managers
Data Engineers and Data Architects
Data Platform and Analytics Leaders
IT Managers and Enterprise Data Strategy Teams

Targeted Skills

Data Mesh architectural and operating principles
Domain-oriented data ownership
Enterprise data product design and management
Data quality, contracts, and service-level definition
Federated computational governance
Self-service data platform requirements
Data product lifecycle and value management
Alignment of Data Mesh with data, analytics, and AI strategies

Expected Outcomes

Explain the core principles of Data Mesh and their relevance to enterprise data management challenges.
Identify business domains and align them with appropriate data ownership and accountability.
Define the characteristics and requirements of usable, discoverable, and trustworthy data products.
Establish roles and responsibilities for effective data product management.
Design a federated governance framework balancing domain autonomy with enterprise standards.
Define the essential capabilities of a self-service data platform.
Establish metrics for data product quality, adoption, and business value.
Develop an integrated approach for adopting Data Mesh within an enterprise data strategy.

Training Topics Index

Evolution from centralised to distributed data architectures
Core concepts and principles of Data Mesh
Domain-oriented data ownership
Data as a product
Assessing organisational suitability for Data Mesh

Data product concepts and defining characteristics
Identifying consumers, needs, and use cases
Product ownership and organisational responsibilities
Discoverability, accessibility, interoperability, and quality
Data product lifecycle and roadmap management

Role of the self-service platform within Data Mesh
Shared capabilities and reusable platform services
Separation of platform and domain responsibilities
Metadata management, cataloguing, and discoverability
Scalability, reliability, and observability requirements

Principles of federated computational governance
Distribution of decision rights across domains and enterprise functions
Quality, security, and privacy policies and standards
Data contracts and interoperability requirements
Quality, compliance, and accountability metrics

Organisational and technical maturity assessment
Prioritisation of domains and data products
Operating models, roles, and accountability
Data product performance, adoption, and value metrics
Transformation roadmap, scaling, and continuous improvement

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Data Mesh and Data Product Management