Certified Data Management Professional (CDMP) – Associate

Day 1: Fundamentals of Data Management

• Overview of DAMA-DMBOK and Data Management domains

• Concepts of Data Lifecycle Management and Data Value Chain

• Roles and responsibilities in data management: Data Owner, Data Steward, Data Custodian

• Definition and implementation of a Data Governance Framework

• Development of data governance policies, standards, and procedures

• Organization and operation of a Data Governance Operating Model

• Enterprise Data Architecture design

• Alignment with IT system architecture

• Management of Data Domains and Data Flows

• Introduction to Data Warehouse and Data Lake architectures

Day 2: Modeling, Quality and Data Management

• Principles of Data Modeling and Data Design

• Conceptual, logical, and physical data modeling

• Techniques for database normalization and denormalization

• Design of relational and multidimensional schemas

• Introduction to Star Schema and Snowflake Schema models

• Dimensions of Data Quality: Accuracy, Completeness, Consistency, Timeliness

• Data Profiling and Data Quality Assessment methods

• Techniques for Data Cleansing and Data Standardization

• Implementation of a Data Quality Management Framework

• Types of metadata: Business Metadata, Technical Metadata, Operational Metadata

• Management of Data Catalogs and Data Lineage

Day 3: Data Security and Data Lifecycle

• Data integration concepts: ETL, ELT, and Data Pipelines

• Integration architectures and system interoperability

• Management of data flows in Big Data environments

• Introduction to Data Lake, Data Fabric, and Data Mesh architectures

• Principles of Data Security Management

• Data access management: RBAC (Role-Based Access Control)

• Techniques: Data Masking, Encryption, and Tokenization

• Regulatory compliance and data protection

• Data Lifecycle Management practices

• Concepts of Master Data Management (MDM)

• Practical application and knowledge integration for effective organizational data management

The CDMP Associate training provides a comprehensive understanding of international best practices in data management according to the DAMA-DMBOK framework.

By attending this training, you will be able to:

• Understand the fundamental principles of Data Management and data governance

• Implement effective strategies to structure and manage enterprise data

• Improve data quality, reliability, and consistency for decision-making processes

• Design and organize a data architecture aligned with organizational needs

• Implement data security and protection practices

• Understand methods for data modeling, integration, and lifecycle management

• Develop highly sought-after skills in Data Management, Data Governance, and Data Architecture

• Gain a holistic vision to leverage data as a strategic organizational asset