An Interactive 5-Day Training Course
Data Management Body of Knowledge (DMBoK)
and Certified Data Management Professional (CDMP) Exam Preparation
Professional Certification on Data Management Fundamentals
and Certified Data Management Professional (CDMP) Exam Preparation
Course Overview
This Data Management Body of Knowledge (DMBoK) and Certified Data Management Professional (CDMP) Exam Preparation training course provides a comprehensive introduction to data management, focusing on the Data Management Body of Knowledge (DMBoK) and preparing participants for the Certified Data Management Professional (CDMP) certification. As data becomes an increasingly valuable strategic asset, effective management is essential for organizational success. This course equips professionals with the knowledge, tools, and best practices necessary to excel in various data management disciplines and earn industry-recognized certification.
The training course offers an in-depth exploration of core data management practices, helping participants develop expertise in data governance, quality, integration, and security. Attendees will gain a thorough understanding of the DMBoK framework, essential concepts, and key strategies to succeed in the CDMP Data Management Fundamentals exam. The curriculum covers data architecture, modeling, operations, and emerging data technologies, making it ideal for data professionals, IT specialists, and business leaders looking to strengthen their data management capabilities.
Key Highlights of This GLOMACS Training Course:
- Comprehensive coverage of the DMBoK framework for structured data management.
- CDMP exam preparation and certification guidance for industry recognition.
- Best practices in data governance and quality management to enhance reliability.
- Fundamentals of master and reference data management for organizational efficiency.
- Insights into emerging trends in data management and analytics to stay ahead in the industry.
Training Objectives
By the End of This Data Management Body of Knowledge (DMBoK) and Certified Data Management Professional (CDMP) Exam Preparation Training Course, You Will Be Able To:
- Comprehend and implement fundamental data management principles based on the DMBoK framework.
- Design and execute strategies for effective data governance and quality management.
- Evaluate and enhance data architecture, modeling, and integration processes for improved efficiency.
- Successfully prepare for the CDMP Data Management Fundamentals exam with key insights and best practices.
- Recognize and adapt to emerging trends and advanced tools in data management and analytics.
Who should Attend?
This Data Management Body of Knowledge (DMBoK) and Certified Data Management Professional (CDMP) Exam Preparation training course is suitable for professionals involved in data management, governance, analytics, or related fields. It will also benefit those preparing for the CDMP certification to enhance their expertise.
This GLOMACS training course is suitable to a wide range of professionals but will greatly benefit:
- Data managers, analysts, and professionals in IT
- Business intelligence and data governance specialists
- Data architects and database administrators
- Risk, compliance, and data security professionals
- Project managers involved in data initiatives
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
Training Outline
DAY 1: Introduction to Data Management and Data Governance
- Overview of Data Management and its key drivers
- Understanding the DMBoK framework and its disciplines
- Introduction to DAMA CDMP certification and exam structure
- Data Governance principles and best practices
- Roles, responsibilities, and organizational models for Data Governance
- Data ethics and data sampling considerations
- Establishing and managing a Data Governance Office
DAY 2: Data Quality Management and Master Data Management
- Key facets and dimensions of Data Quality
- Policies and metrics for improving Data Quality
- Tools and techniques for Data Quality Management
- Differences between master and reference data
- Master Data Management architectures and implementation strategies
- Assessing Master Data Management maturity
- Relationship between Data Governance, Data Quality, and Master Data Management
DAY 3: Data Warehousing, BI, and Data Modeling
- Introduction to data warehousing and its role in organizations
- Major data warehouse architectures: Inmon vs. Kimball
- Dimensional Data Modeling concepts and practices
- Business Intelligence (BI) and analytics solutions overview
- Types of analytics and visualization techniques
- Data Modeling as a key element of Data Governance
DAY 4: Metadata Management and Data Integration
- Understanding metadata and its importance
- Types, sources, and uses of metadata
- Metadata repositories and business user access
- Data integration vs. data interoperability concepts
- Business and technology issues in data integration
- Guidelines for planning and providing data integration
DAY 5: Data Architecture, Lifecycle Management, and Data Security
- Types of data architecture and enterprise approaches
- Managing data across its entire lifecycle
- Differences between data lifecycle and SDLC
- Proactive data lifecycle planning and data value chain considerations
- Identifying and mitigating data risks
- Data security, privacy, and compliance frameworks
- Threat categories and defense mechanisms for data protection
- Adapting to evolving legal and regulatory requirements
Providers and Associations
Sessions in international locations
Online Sessions
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