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Bootcamp for Certified Data Management professional (CDMP) Course Overview

Bootcamp for Certified Data Management professional (CDMP) Course Overview

The Bootcamp for Certified Data Management Professional (CDMP) is a comprehensive course designed to equip learners with the knowledge and skills needed to manage and leverage data effectively within organizations. The course covers a wide array of topics, including the Data Management Process, where learners understand the entire lifecycle of data management, from acquisition to retirement.

In Module 2: Big Data, participants explore the complexities of handling large-scale data. Data Architecture is delved into in Module 3, focusing on the design and management of data ecosystems. Document and Content Management are covered in Module 4, highlighting strategies for managing unstructured data.

Data Ethics in Module 5 is increasingly important, ensuring that data use aligns with ethical and legal standards. Data Governance and Data Integration and Interoperability follow, teaching how to establish policies and frameworks as well as connect disparate data systems.

Master and Reference Data Management and Data Modelling and Design are crucial for maintaining consistency and understanding the relationships within data. Data Quality and Data Security ensure that the data is reliable and protected against threats.

Modules on Data Storage and Operations, Data Warehousing and Business Intelligence, and Metadata Management provide insights into the storage, analysis, and the crucial role of metadata in managing data.

By the end of the bootcamp, learners are well-versed in the principles and practices of data management, positioning them for the CDMP certification and roles that require a strong command of data stewardship.

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Course Prerequisites

To ensure that participants are fully prepared to engage with and benefit from the Bootcamp for Certified Data Management Professional (CDMP) course, the following minimum prerequisites are recommended:


  • Basic understanding of IT concepts and terminologies
  • Familiarity with core data management principles and practices
  • Knowledge of fundamental database concepts
  • An interest in data management and a willingness to learn about various data management disciplines
  • Basic proficiency with computer systems and software applications to engage with course materials and exercises
  • Some exposure to data handling or analysis in a professional or academic setting is helpful but not mandatory

Please note that while these prerequisites are intended to set a foundation for the course, the Bootcamp is designed to accommodate a range of professionals, including those who are new to data management. The course modules will provide comprehensive coverage of the topics listed, building from basic concepts to more advanced principles.


Target Audience for Bootcamp for Certified Data Management professional (CDMP)

  1. The CDMP Bootcamp is a comprehensive course designed for professionals aiming to master data management and analytics.


  2. Target audience for the Certified Data Management Professional (CDMP) Bootcamp includes:


  • Data Analysts
  • Data Architects
  • Data Scientists
  • Data Managers
  • Database Administrators
  • IT Managers
  • Data Governance Officers
  • Business Intelligence Analysts
  • Information Systems Managers
  • Big Data Engineers
  • Data Warehousing Specialists
  • Master Data and Reference Data Managers
  • Document and Content Managers
  • Data Security Analysts
  • Compliance Officers
  • Data Quality Managers
  • Data Integration Specialists
  • Metadata Management Professionals
  • Professionals seeking to enhance their data management skills
  • Individuals aiming for DAMA CDMP certification


Learning Objectives - What you will Learn in this Bootcamp for Certified Data Management professional (CDMP)?

  1. The CDMP Bootcamp equips professionals with comprehensive data management skills, ensuring proficiency in big data, architecture, ethics, governance, and more.

  2. Learning Objectives and Outcomes:

  • Understand the core principles and processes involved in effective Data Management.
  • Gain insights into Big Data technologies and analytics, and how they can be leveraged within an organization.
  • Learn the components and design of Data Architecture to support business needs.
  • Acquire knowledge on managing documents and content throughout their lifecycle.
  • Grasp the ethical considerations and responsibilities in managing and using data.
  • Develop a framework for Data Governance to ensure data quality and compliance.
  • Explore techniques for Data Integration and achieving Interoperability across diverse systems.
  • Learn how to manage Master and Reference Data to maintain a consistent data environment.
  • Understand the principles of Data Modelling and Design for structured data management.
  • Learn strategies to maintain Data Quality and implement quality improvement measures.
  • Gain knowledge on Data Security principles to protect data assets from threats.
  • Understand the methodologies for effective Data Storage and Operations management.
  • Delve into Data Warehousing and Business Intelligence to support decision-making processes.
  • Explore the role of Metadata Management in understanding and utilizing data effectively.

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