---
url: "https://xcademia.com/courses/xdata-xcademia-data-management-practitioner"
title: "XDATA: Xcademia Data Management Practitioner"
description: "Earn XDATA through a 5-day data management programme. DAMA DMBOK2, data mesh, AI data governance, UK GDPR. Practitioner-assessed. CDMP alternative UK."
publishedAt: "2026-04-20T06:22:23.996136+00:00"
updatedAt: "2026-04-20T09:09:40.145643+00:00"
type: course
code: "AID-0148"
level: Expert
duration_days: "5"
track: "Data Governance & Data Mesh"
category: "AI, Data & Analytics"
credential_tier: tier3
price_gbp: "3595"
---

# XDATA: Xcademia Data Management Practitioner

> The XDATA Certification Programme is the practitioner standard for data management professionals who design data governance frameworks, implement data quality programmes, govern data architectures, manage master data, and enable data-driven organisations through effective data literacy and modern data platform governance. Assessed on Day 5 through a supervised data governance framework design and data quality programme scenario. No MCQs. No 600-page self-study textbook.

## Overview

DAMA CDMP is the leading data management certification, covering 14 DMBOK knowledge areas across data governance, data quality, master data management, data architecture, data security, and more. But CDMP is fundamentally a self-study MCQ exam requiring hundreds of hours of independent reading from a 600-page textbook followed by multiple choice examinations. It tests knowledge recall, not the ability to design a data governance framework, conduct a data quality assessment, or build a data mesh architecture. XDATA builds these applied skills.

Across five instructor-led days, XDATA covers the core DAMA DMBOK knowledge areas with direct practical application: data governance programme design including stewardship and ownership models, data quality lifecycle management with profiling tools, data architecture patterns including data mesh and data lakehouse, master data and reference data management, metadata management and data catalogue governance, data security and privacy governance, AI and ML data governance aligned to EU AI Act Article 10, and regulatory data compliance for UK public sector, NHS, and financial services.

On Day 5, participants design a data governance framework and data quality programme for a simulated enterprise. A senior data management practitioner assesses the framework design, quality methodology, and governance structure. XDATA certificate and Practitioner Assessment Report issued together.

## Prerequisites

- Minimum 2 years in a data management, business intelligence, data engineering, or data governance role
- Basic understanding of data concepts: databases, data quality, and data management challenges in organisations
- Familiarity with at least one data platform: SQL databases, cloud data warehouse, or data lake environment

## What you will learn

- Design enterprise data governance frameworks including governance bodies, data ownership, data stewardship, policies, and standards aligned to DAMA DMBOK2
- Implement data quality lifecycle management including profiling with Great Expectations and dbt, KPI dashboards, and root cause analysis programmes
- Design master data management programmes including golden record design, MDM hub architecture, and reference data governance
- Apply data mesh architecture principles including domain ownership, data product design, and federated computational governance
- Govern AI and ML data including EU AI Act Article 10 training data requirements, feature store governance, and data contract design
- Align data management programmes to UK GDPR accuracy obligations, NHS Data Standards, DORA ICT data requirements, and FCA data governance expectations

## Skills you will gain

- Data governance framework design
- Data quality lifecycle management
- Data stewardship and ownership
- Master data management (MDM)
- Reference data governance
- Metadata management and data catalogue
- Data lineage documentation
- Data mesh architecture
- AI/ML data governance (EU AI Act Art.10)
- Data architecture (warehouse/lake/lakehouse)
- DAMA DMBOK2 knowledge areas
- UK GDPR data accuracy obligation

## Career progression

- Data Governance Manager
- Chief Data Officer
- Data Quality Manager
- Data Steward Lead
- Data Architect
- Head of Data Management

## Framework alignment

- DAMA DMBOK2
- DCAM (EDM Council)
- FAIR Data Principles
- UK GDPR Article 5
- UK Government Data Quality Framework
- EU AI Act Article 10
- NHS Data Standards
- DORA Article 9 and 10

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Q1: How does XDATA compare to DAMA CDMP?**

CDMP Associate and Practitioner are self-study MCQ exams requiring hundreds of hours of DMBOK reading across a 600-page textbook. XDATA is 5 instructor-led days applying DMBOK concepts to real data governance scenarios, assessed through a supervised data governance design and quality programme exercise on Day 5. XDATA is practical; CDMP is theoretical recall. They complement each other: XDATA candidates are well-positioned to sit CDMP examinations having developed applied DMBOK understanding.

**Q2: Does XDATA cover data mesh in depth?**

Yes. Day 4 covers data mesh as a primary architecture pattern for 2025 and 2026: the four data mesh principles, data product design and ownership, data mesh governance in practice (domain council model), and the practical challenges of transitioning from centralised data lakes. Data mesh is increasingly the default architecture for large enterprises and XDATA positions practitioners to govern it effectively.

**Q3: How does XDATA address AI and ML data governance?**

AI data governance is covered explicitly across Day 5: EU AI Act Article 10 requirements for training data of high-risk AI systems, feature store design and versioning, data contracts in ML pipelines, synthetic data governance, and ML data lineage for reproducibility. As AI deployments scale across organisations, data governance practitioners are increasingly responsible for governing AI-consumed data.

**Q4: Does XDATA cover cloud data platforms throughout?**

Yes. Cloud data architecture patterns are covered in Day 4. Cloud-native data quality tools are covered in Day 2 (Great Expectations, dbt, AWS Glue DQ, Azure Purview DQ). Cloud data security governance is covered in Day 5. The programme reflects that virtually all enterprise data management in 2025 to 2026 operates on cloud-native platforms.

**Q5: What career paths does XDATA support?**

Data Governance Manager: £60,000 to £95,000 UK. Chief Data Officer: £100,000 to £180,000 plus. Data Quality Manager: £55,000 to £85,000. Head of Data Management: £80,000 to £130,000. Data Governance Consultant: £600 to £1,200 per day.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0148 |
| Duration | 5 days |
| Level | Expert |
| Track | Data Governance & Data Mesh |
| Category | AI, Data & Analytics |
| Credential tier | tier3 |
| Price (GBP) | £3595 |

---

## About this content

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