DAMA DMBoK Metadata Specialist

The course of Metadata Management Specialist is designed for Analytics Managers, IT Managers, Data Management Professionals, Data Engineers, Data Analysts and Scientists, Database Administrators, Database Modelers, Compliance Officers, and professionals interested in Metadata Management.

The following job roles also qualify:

Business Intelligence & Data Warehouse developers & architects

Data Modellers

Developers

Data & Enterprise Architects

Data Analysts

Solution Architects

Application Architects

Information Architects

Business Analysts

Database Administrators

Project / Programme Managers

IT Consultants

Data Governance Managers

Data Quality Managers

Information Quality Practitioners

• Grasping the core concepts and importance of metadata in data management and governance.
• Learning techniques for capturing and storing metadata across various data sources and systems.
• Understanding methods for cataloging and classifying metadata to facilitate data discovery and understanding.
• Developing strategies for governing metadata to ensure accuracy, consistency, and integrity.
• Exploring metadata management tools and technologies available in the market to support metadata management initiatives.

Course Content

• Overview of metadata concepts, importance, and relevance in data management.
• Understanding the role of metadata in supporting data governance, data integration, and data quality initiatives.
• Exploring different types of metadata, including technical, operational, process, and business metadata.
• Strategies for storing and managing metadata in metadata repositories and databases.
• Methods for cataloging and classifying metadata to facilitate data discovery and understanding.
• Developing metadata taxonomies and hierarchies to organize metadata assets effectively.
• Establishing metadata governance frameworks and processes to ensure metadata quality, consistency, and integrity.
• Overview of metadata management tools and technologies available in the market.
• Ensuring metadata interoperability across different metadata repositories and platforms.
• Understanding how metadata usage impacts data management processes, such as data integration, data governance, and data analysis.
• Leveraging metadata to enhance data-driven decision-making and organizational efficiency.
• Tips and strategies for successfully completing DAMA certification exams in metadata management.

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
  Metadata vs. data, types of metadata, sources of metadata, and metadata architecture.
• Activities
  Define metadata strategy, understand metadata requirements, define metadata architecture, create, and maintain metadata, integrate metadata, distribute, and deliver metadata, query, report and analyze metadata.
• Tools & Techniques
  Metadata repository management tools, data lineage, and impact analysis.
• Implementation
  Readiness assessment, risk assessment, organization, and culture change.
• Governance
  Process controls, documentation, standards and guidelines, and metrics.

Benefits

There are several benefits of participating in the Metadata Management Specialist course. Some of them include:

• Learners get a solid foundation on metadata management.
• Learners become certified metadata management 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.

CDMP-DMF, DAMA DMBOK Data Management Fundamentals Recommended prerequisites:

• CDMP-DMF - DAMA DMBoK Data Management Fundamentals

Attending this course will give the learners a solid preparation to sustain the following specialist certification exam:

• DAMA Certified Metadata (CDMP)

This exam is not included in the course price and can be booked in addition to the course.

Additional Certification Requirements:

• CDMP Practitioner: 70% pass in Data Management Fundamentals exam and 70% pass in 2 specialist exams and between 2 and 10 years of Industry Experience.
• CDMP Master: 80% pass in Data Management Fundamentals exam and 80% pass in 2 specialist exams and more than 10 years of Industry Experience.