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DAMA DMBOK Data Management Fundamentals

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The DAMA DMBOK Data Management Fundamentals course provides an in-depth introduction to the principles of data management, as described in DAMA-DMBOK2. This course prepares professionals for the DAMA Certified Data Management Professional (CDMP) exam by covering key concepts and best practices within the field.

DAMA DMBOK Data Management Fundamentals course description

This comprehensive DAMA Data Management Fundamentals training covers all core areas of data management according to the Data Management Body of Knowledge (DAMA-DMBOK2) from DAMA International. Participants gain an in-depth understanding of the essential disciplines within data management, including data governance, data quality, data modeling and data integration, supported by relevant case studies and practical applications.

Topics DAMA DMBOK Data Management Fundamentals

  • Overview of DAMA-DMBOK2
    • Structure and major components of DAMA-DMBOK2
    • Fundamental data management principles
  • Data Governance
    • Setting up and managing data governance structures
    • Defining roles and responsibilities within data governance
  • Data quality
    • Methodologies for ensuring high data quality
    • Management and improvement of data quality processes
  • Data modeling and architecture
    • Basic and advanced techniques in data modeling
    • Integration and architecture strategies
  • Metadata Management
    • Importance and management of metadata
    • Implementation practices for effective metadata management

Learning objectives DAMA DMBOK Data Management Fundamentals

  • Acquire comprehensive knowledge of data management principles and practices as established in DAMA-DMBOK2.
  • Applying best practices in data management to improve organizational data governance and data quality.
  • Thorough preparation for the DAMA CDMP exam by developing knowledge and skills essential for data management professionals.

If you feel that you might benefit more from another training, please seek advice or study the page yourself: Information & Data Management.

For example, look at other courses such as the Data Analytics Foundation.

Target group DAMA DMBOK Data Management Fundamentals course

This course is aimed at IT professionals, data analysts, business intelligence specialists, and others who are directly involved in data management tasks or who want to deepen their careers in data management. Also suitable for those who want to formalize their expertise through DAMA certification.

 

Level and prior knowledge of DAMA DMBOK Data Management Fundamentals

An understanding of basic data concepts is recommended, but beginners can also start with this course that takes participants from beginning to advanced knowledge of data management.

Planning DAMA DMBOK Data Management Fundamentals

The course lasts a total of 2 days.

Day 1: Basics of Data Management

  • 09:00 - 09:30 Introduction and overview of the course
  • 09:30 - 11:00 Module 1: Introduction to DAMA-DMBOK2
    • Structure and key elements of DAMA-DMBOK2
    • Important data management principles
  • 11:00 - 11:15 Coffee break
  • 11:15 - 12:45 Module 2: Data Governance
    • Setting up a data governance framework
    • Roles, responsibilities, and best practices
  • 12:45 - 13:30 Lunch break
  • 13:30 - 15:00 Module 3: Data quality
    • Defining and measuring data quality
    • Strategies for improving data quality
  • 15:00 - 15:15 Coffee break
  • 15:15 - 16:45 Module 4: Data Modeling and Architecture
    • Basics of data modeling
    • The importance of good data architecture

Day 2: Further Deepening and Application

  • 09:00 - 10:30 Module 5: Metadata Management
    • The importance of metadata
    • Tools and techniques for effective metadata management
  • 10:30 - 10:45 Coffee break
  • 10:45 - 12:15 Module 6: Data Security
    • Overview of data security principles
    • Implementing data security measures
  • 12:15 - 13:00 Lunch break
  • 13:00 - 14:30 Module 7: Data Integration and Operations
    • Data integration strategies
    • Best practices for data operations management
  • 14:30 - 14:45 Coffee break
  • 14:45 - 16:15 Module 8: Exam Preparation and Exercises
    • Overview of exam topics and question types
    • Tips and strategies for successfully completing the exam
  • 16:15 - 16:30 Closing of the course
    • Summary of key points
    • Evaluation and feedback round
    • Information about follow-up training and certification processes

DAMA DMBOK Data Management Fundamentals exam

The DAMA DMBOK Data Management Fundamentals certification validates professionals' expertise in the principles and practices of data management as described in DAMA International's Data Management Body of Knowledge (DAMA-DMBOK2). This certificate shows that a professional has a thorough understanding of the various data management disciplines and can apply them effectively within his or her organization.

Exam Details:

  • Exam Format: Multiple choice questions
  • Number of questions: 100
  • Exam time: 90 minutes
  • Pass rate: 60%
  • Exam language: English
  • Exam format: The exam can be taken online under supervision or at an accredited exam center.
  • Study material: Recommended reading is the DAMA-DMBOK2 manual, which provides in-depth information on all areas of data management.

Recommended Follow-up Training:

Participants can further specialize in advanced modules of data management, such as in-depth data modeling, strategic data architecture, and specialized training in data quality management.

Related products:

The course is supported by study materials including the DAMA-DMBOK2 manual and access to online practice exams to thoroughly prepare participants for the DAMA CDMP exam.

Do you have a question about: DAMA DMBOK Data Management Fundamentals

Please feel free to contact us if you cannot find a suitable date.

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