AI & Data

Data 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.

Duration
6h
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Who it's for

Ideal for teams that…

1 Data leaders, data architects, and Data Engineering teams responsible for scaling strategic data management.
2 Managers and data product owners in distributed organizations interested in modern data approaches.
3 Business analysts and decision-makers seeking to understand how to establish cultural and technological foundations for modern data architectures.
4 Specialists responsible for data governance, data quality, and regulatory compliance.
5 Anyone planning or implementing data architecture scaling strategies.
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

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.

Program · 3 modules

What we actually do

M01
Day 1: Fundamentals of Data Mesh and Distributed Data Architecture
  • · The genesis and need for Data Mesh – challenges of traditional data architectures
  • · Data domains
  • · Data product ownership
  • · Self-service infrastructure
  • · Federated governance and data policy
  • · The impact of Data Mesh on organizational culture and team structure
  • · 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
M02
Day 2: Technologies, Processes, and Implementing Data Mesh
  • · Tools enabling automation of data management (Data Catalog, Governance, Pipelines)
  • · Integrating data in a federated environment and ensuring interoperability
  • · Apache Kafka
  • · Data Lakes
  • · Kubernetes
  • · 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
M03
Day 3: Practical Implementations and Case Studies
  • · Stages of implementing Data Mesh in large organizations
  • · Guidelines for migrating from monolithic data platforms
  • · Change management and building competencies within teams
  • · Analysis of real-world Data Mesh implementation cases
  • · Group exercises: designing domains, selecting tools, defining processes
  • · Discussion on challenges and best practices for implementation
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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