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DAMA DMBoK Reference and Master Data Management Specialist
- Categories:
- Data and Office Applications Data and Office Applications
- Level:
- Fundamentals
- Code:
- TPCDMP-RMDM
- Exam:
- Not Applicable
Overview
This 1-day DAMA DMBOK Data Management Specialist course addresses all required disciplines required for the Reference and Master Data (RMD) specialist exam by the international standard, DAMA Body of Knowledge (DMBOK2) and is aimed at individuals interested in developing concrete professionalism in the field of Data Management with a specialization in Reference and Master Data.
This course provides a solid foundation of the different information disciplines across the complete Reference and Master Data spectrum.
The RMD specialist course explores the essential concepts and techniques for managing reference and master data within organizations. This includes understanding the distinctions between reference data and master data. You'll delve into strategies for identifying, defining, and governing reference and master data elements to ensure consistency and integrity across systems and processes.
Prerequisites
CDMP-DMF, DAMA DMBoK Data Management Fundamentals
Recommended prerequisites:
- CDMP-DMF - DAMA DMBoK Data Management Fundamentals
What's included
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What is Classroom?
Hands-on, instructor-led training delivered in a QA learning centre
In-person training in a dedicated QA learning centre. Learners benefit from expert-led sessions, collaborative activities, and structured, hands-on workshops in a distraction-free environment. If you can’t attend in person, many classroom courses are also available to attend remotely.
Classroom sessions can be arranged on request. Please contact your account manager to discuss availability in your region
Best for: Individuals and teams who benefit from deep focus, direct interaction, and practical, hands-on learning.
What's included?
1 Day instructor led course
6 month free access to QA learning platform
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What is bespoke training?
Custom instructor-led training designed by QA to fit your needs
Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.
Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.
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Dates
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Learning outcomes
- Grasping the core concepts and importance of reference and master data within organizational data management strategies.
- Learning the distinctions between reference data and master data.
- Developing skills in identifying, defining, and categorizing reference and master data elements within organizational datasets.
- Understanding the role of data governance in managing reference and master data, including defining roles, responsibilities, and processes.
- Implementing processes and best practices to ensure data quality and consistency across reference and master data elements, systems, and processes.
Course outline
Course Content
- Overview of reference and master data concepts, their significance in data management, and their impact on organizational processes.
- Understanding the differences between reference data and master data.
- Implementing processes and best practices to ensure data quality and consistency across reference and master data elements, systems, and processes.
- Leveraging metadata management practices to facilitate understanding, discovery, and governance of reference and master data.
- Techniques for integrating reference and master data across systems and processes to ensure data consistency and integrity.
- Tips and strategies for successfully completing DAMA certification exams in reference and master data.
Agenda of the Course
The course includes training, practice, and downloadable materials for the facilitation of learners. The main sections of the training are:
- Introduction
Relations with other DAMA topics, drivers, goals, and principles. - Essential concepts
Differences between reference and master data, reference data, master data, and data sharing architecture. - Activities
Define drivers and requirements, assess data sources, define architectural approach, model data sets, define stewardship and maintenance processes, and establish data governance policies. - Tools & Techniques
Master data management tools, Reference data management tools. - Implementation
Monitor data movement, manage changes, data sharing agreements, and organization and cultural change. - Governance
Process controls, documentation, and metrics.
Benefits
There are several benefits of participating in the Reference and Master Data Specialist course. Some of them include:
- Learners get a solid foundation on reference and master data.
- Learners become certified reference and master data Specialists.
- Learners learn to understand the principal concepts and terminology.
This course is designed to facilitate the learning and understanding of learners about metadata management and its related concepts.
Good to know
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What our customers are saying
“I would highly recommend the trainer; he was very knowledgeable and was very enthusiastic. His training style suited me really well and every piece of information given was backed up with 'real world' examples that solidified the information given. He also had a great sense of humour.”
Julie
Querying Microsoft SQL Server
“It’s been great to see significant improvements with how we manage resources including costs and in-house solutions from fundamental data skills training.”
Aravinth Pandian
Head of Business Intelligence, East London NHS Foundation Trust
Portfolio Director
David Pool
Data & AI Development Director
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When will I receive my certificate?
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