Data Mesh Training – Modern Data Management in Large Organizations
Level
AdvancedDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedData Mesh Training – Modern Data Management in Large Organizations
The Data Mesh training is an intensive 2–3 day practical workshop (80% practice, 20% theory) that comprehensively introduces you to the Data Mesh concept—a modern approach to data management in large, distributed organizations. You will learn the principles of data management decentralization, domain-driven data architecture, and the implementation of a data ownership culture within product teams. The course prepares you to plan and implement a Data Mesh strategy, ensuring data consistency, quality, and availability in a distributed model using appropriate technologies and processes. The training emphasizes practical application and addresses real business and technological challenges, enabling participants to effectively design and implement modern data management solutions within their organizations.
What You Will Learn
- Define data domains and effectively distribute responsibilities among teams.
- Understand the fundamentals of Data Mesh and how modern, distributed data architectures function.
- Learn to build self-service infrastructures that allow for rapid and secure data management.
- Implement governance and organizational transformation in the Data Mesh approach.
- Master mechanisms for ensuring data quality, security, and compliance in contemporary organizations.
- Gain practical insights and experience through case studies and workshop exercises.
Data leaders, data architects, and Data Engineering teams responsible for scaling strategic data management.-
Managers and data product owners in distributed organizations interested in modern data approaches.
-
Business analysts and decision-makers seeking to understand how to establish cultural and technological foundations for modern data architectures.
-
Specialists responsible for data governance, data quality, and regulatory compliance.
-
Anyone planning or implementing data architecture scaling strategies.
Training Program
-
Day 1: Fundamentals of Data Mesh and Distributed Data Architecture
-
Module 1: Introduction to Data Mesh – Principles and Values
- The genesis and need for Data Mesh – challenges of traditional data architectures
-
The four pillars of Data Mesh
- Data domains
- Data product ownership
- Self-service infrastructure
- Federated governance and data policy
- The impact of Data Mesh on organizational culture and team structure
-
Module 2: Designing Data Domains and Implementing Decentralization
- Defining business domains as units of data ownership
- Roles and responsibilities of data owners and domain teams
- Creating data products and ensuring their quality and availability
-
Day 2: Technologies, Processes, and Implementing Data Mesh
-
Module 3: Self-Service Data Infrastructure
- Tools enabling automation of data management (Data Catalog, Governance, Pipelines)
- Integrating data in a federated environment and ensuring interoperability
-
Technologies supporting Data Mesh
- Apache Kafka
- Data Lakes
- Kubernetes
-
Module 4: Data Quality and Security Management
- Federated approach to security policies and regulatory compliance (e.g. GDPR)
- Metrics and monitoring of data quality in the Data Mesh model
- Tools for monitoring, auditing, and managing data access
-
Day 3: Practical Implementations and Case Studies
-
Module 5: Planning and Strategy for Data Transformation in Organizations
- Stages of implementing Data Mesh in large organizations
- Guidelines for migrating from monolithic data platforms
- Change management and building competencies within teams
-
Module 6: Application Examples and Practical Workshops
- Analysis of real-world Data Mesh implementation cases
- Group exercises: designing domains, selecting tools, defining processes
- Discussion on challenges and best practices for implementation
