Bootcamp for Certified Data Management professional (CDMP)
Learning Objectives
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The CDMP Bootcamp equips professionals with comprehensive data management skills, ensuring proficiency in big data, architecture, ethics, governance, and more.
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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.
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.
Module 1- Data Management
Module 2- Data handling ethics
Module 3- Data governance
Module 4- Data Architecture
Module 5- Data modelling and design
Module 6- Data storage and operations
Module 7- Data security
Module 8- Data integration
Module 9- Document and content management
Module 10- Reference and master data
Module 11- DW BI
Module 12- Metadata management
Module 13- Data quality
Module 14- Big data and data science
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