The British Academy for Training and Development offers a course in DMBoK and CDMP Preparation: Data Management Fundamentals, which is designed to provide attendees with essential knowledge in data management.

This course offers a comprehensive understanding of the DMBoK. It leads the attendees towards acquiring the Certified Data Management Professional (CDMP) certification. Among some of the skills covered are data governance, data quality, data architecture, and data modeling. They will explore best practices for managing data and acquire essential capabilities in meeting industry standards.  This course builds a solid foundation for aspiring professionals to refine skills in the progressive field of data management and thus pursue a career therein.

The course introduces attendees to the different levels of Industry professional certification, the DAMA Certified Data Management Professional (CDMP).

Objectives:

The objective of this course is: 

1. Demonstrating basic knowledge of the DAMA framework and its functions of data management.

2. Employing E-R modeling to depict facts, relationships, and rules among entities at various levels of detail, such as conceptual and logical models.

3. Knowing how to use top-down and bottom-up ways to kick-off startup and then elaborate means-out for data models.

4. Apply normalisation of data in an ER model and in a relational database schema.

5. Know ways of discovering additional requirements and implementing business rules within the data model.

6. Read a data model, and communicate it using appropriate terminology to subject matter experts.

Who Should Attend?

This programme has been designed for Managers, Directors, and senior stakeholders, to support and provide leaders with the knowledge and skills to be high-performing directors, preparing them for the demands and challenges that they face every-day.

How will attendees benefit?

By completing this course, attendees will be fully prepared to excel in their data management careers and gain certification as a Data Management Professional. The benefits of this course are:

1. Complete Knowledge: Extensive understanding of fundamental data management aspects pertaining to data governance, data quality, architecture, and security in the DMBoK training. 

2. Exam Preparation: CDMP certification exam prep has been done well with professional instruction and study materials available. 

3. Hands-on Experience: Professional exposure to data management tools and techniques used by top organisations. 

4. Career Growth: Make your profile more professional; it improves your chances in the job market data management and areas closely related to it. 

5. Industry-Wide Validity: The CDMP certification has the credibility backing of the industry in which it is set and indicates your commitment to the profession. 

6. Networking Opportunities: Meet with like-minded professionals and learn from industry experts.

Introduction to Data Management

• Overview of data management principles and its significance.

• Key concepts and terminologies in data management.

• Introduction to the DMBoK framework.

Data Governance

• Understanding the role of data governance in organizations.

• Best practices for implementing data governance strategies.

• Policies and procedures for managing data within legal and regulatory frameworks.

Data Quality Management

• Key principles of data quality management.

• Techniques for ensuring data accuracy, consistency, and completeness.

• Tools for data quality assessment and improvement.

Data Architecture

• Fundamentals of data architecture and its importance.

• Designing efficient data models and storage structures.

• Data integration, transformation, and modeling techniques.

Data Modeling and Design

• Principles of conceptual, logical, and physical data modeling.

• Techniques for creating and maintaining data models.

• Understanding relational, dimensional, and NoSQL data models.

Data Storage and Operations

• Data storage systems and technologies.

• Data lifecycle management and optimization.

• Ensuring data accessibility and security in storage systems.

Data Security and Privacy

• Best practices for data security and privacy.

• Understanding compliance requirements such as GDPR, CCPA, etc.

• Data encryption, anonymization, and secure access controls.

Data Integration and Interoperability

• Integration techniques for linking data across systems.

• Tools and technologies for data interoperability.

• Managing and enhancing data flows within an organization.

Data Management Tools and Technologies

• Overview of leading data management tools.

• Hands-on experience with software for data governance, quality, and integration.

• Evaluating and selecting the right tools for specific data management needs.

Preparing for the CDMP Exam

• Detailed guidance on the CDMP certification process.

• Exam structure and question types.

• Tips and strategies for passing the CDMP exam.