Technologies / Data & Analytics

Data Mesh - Decentralized Data Architecture for Enterprise

Revolutionary approach to data architecture in large organizations based on decentralization, domain ownership, and data as a product. The program presents practical implementation strategies and organizational transformation. Workshop focuses on enterprise cases and real deployment challenges. Case study and workshop methodology ensures understanding of both technical and organizational aspects.

Why choose this training?

In today’s rapidly evolving IT landscape, technical competencies have become a critical asset. Revolutionary approach to data architecture in large organizations based on decentralization, domain ownership, and data as a product. The program presents practical implementation strategies and organizational transformation.

Upon completion, participants will be able to: Scalable data architecture will be implemented according to organizational needs, Reduction of data access bottlenecks will enable faster decision making, Data quality improvement will occur through domain ownership introduction, Accelerated time to insight will be achieved through decentralization. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Chief Data Officers, Data architects, Enterprise architects.

What makes our approach unique?

EITT combines theoretical knowledge with intensive practical workshops. Over 2 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Scalable data architecture will be implemented according to organizational needs
Reduction of data access bottlenecks will enable faster decision making
Data quality improvement will occur through domain ownership introduction
Accelerated time to insight will be achieved through decentralization
Domain autonomy will ensure better solution fit to business needs
Self-serve platform standardization will enable solution scaling
Federation-level governance will maintain consistency while preserving flexibility

Who is this training for?

Chief Data Officers

Data architects

Enterprise architects

Product owners

Data platform teams

Data managers

Digital transformation leaders

Prerequisites

Experience in data management and enterprise system design
Knowledge of data architecture and big data tools
Ability to manage organizational change and process transformation
Basic knowledge of domain-driven design and microservices architecture

Training program

Domain ownership
Data as a product
Self-serve platform
Federated governance

Organizational change
Technology stack
Migration patterns
Success metrics

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

For Data Mesh - Decentralized Data Architecture for Enterprise we recommend: Experience in data management and enterprise system design; Knowledge of data architecture and big data tools; Ability to manage organizational change and process transformation.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Chief Data Officers; Data architects; Enterprise architects.