Technologies / Infrastructure

Data Mesh Architecture - Domain Controlled Data and Self-Service Platforms.

The training presents a revolutionary approach to data management in large organizations, involving a shift from a centralized data lake model to decentralized data products focused on specific business domains. The program combines aspects of organizational transformation with the practical use of advanced technology tools. Participants will learn practical methods for implementing key principles of data mesh architecture. The domain-first methodology guarantees a sustainable and effective transformation of an organization's data architecture.

Issues

Date mesh
Domain-controlled data
Data products
Federal governance
Organizational transformation
Self-service platform
Data contracts
Discovery and catalog
Quality management
Tracking of origin
Platform thinking
Cultural change

Benefits

Participants will achieve data architecture scalability by implementing a distributed domain ownership model
They will significantly reduce the time it takes to deliver business value by creating domain-specific data products
They will improve data quality by leveraging deep domain knowledge and clearly defined ownership models
They will eliminate bottlenecks in analytical processes by implementing advanced self-service capabilities
They will stimulate innovation in the organization by using a product-based approach to data management
They will increase organizational agility by implementing an effective federated governance model
They will achieve better alignment between technical solutions and actual business needs by consistently applying a domain-driven approach

Who is this training for?

Chief Data Officers

Enterprise architects

Data platform teams

Product owners

Data architects

Technology leaders

Transformation managers

Prerequisites

Participants should have solid experience in enterprise-level data management and knowledge of enterprise architecture principles
Familiarity with domain-driven design concepts and experience in designing microservice architectures is essential
Skills in managing organizational change processes and leading complex transformation projects are required
Basic knowledge of modern data management practices and technology platform engineering principles is welcome

Training program

Domain ownership
Data as a product
Self-service platform
Federal governance

Topology of teams
Property models
Metrics of success
Cultural change

Platform capabilities
Data contracts
Discovery and catalog
Quality and origin

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

Frequently asked questions

What are the prerequisites for this training?

For Data Mesh Architecture - Domain Controlled Data and Self-Service Platforms. we recommend: Participants should have solid experience in enterprise-level data management and knowledge of enterprise architecture principles; Familiarity with domain-driven design concepts and experience in designing microservice architectures is essential; Skills in managing organizational change processes and leading complex transformation projects are required.

What is the format and duration of this training?

The training lasts 3 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; Enterprise architects; Data platform teams.

What practical skills will I gain from this training?

You will learn to implement data mesh principles including distributed domain ownership, create domain-specific data products, design self-service data platforms, and eliminate analytical bottlenecks through decentralized data architecture.

What topics does the program cover?

The program covers the principles of Data Mesh, organizational change management for data transformation, and technological tools for implementing domain-controlled data products and self-service analytical platforms.

How does Data Mesh differ from a centralized data lake approach?

Data Mesh shifts ownership from a centralized team to individual business domain teams, treating data as a product. The training explains this architectural transformation, including how it eliminates data engineering bottlenecks and improves data quality through deep domain knowledge.