- CDMP Fundamentals
The course covers Data Storage and Operations Management within the DAMA Body of Knowledge (DMBoK®) in depth. Data Storage and Operations is defined in the DMBoK as “the design, implementation, and support of stored data to maximize value.” This course covers the essential components of effective Data Storage and Operations Management, including its main activities, Lifecycle Management, Data Technology Management, tools and operations, roles and responsibilities, database environments, availability, recoverability, architectures, and pitfalls.
The DAMA International-endorsed Learning Plan was developed by DATAVERSITY, DAMA International, and Christopher Bradley, the VP of Professional Development at DAMA.
Purpose
To understand the importance, position, and role of Data Storage and Operations Management for organizations and data professionals.
Outcome
- Learn about key components of data storage
- Discuss many features of database and data technologies
- Explore the goals of Data Operations
- Understand the primary deliverables of storage and operations
- Learn where database administrators (DBAs) and other roles sit within this data discipline
- Data Storage and Operations Management and the DMBoK
- DAMA DMBoK Wheel
- Key Points, Activities, and the SDLC
- What is Data operations Management?
- Key Points
- Goals of Data Operations Are Based On
- Production DBAs Take Primary Responsibility for Data Operations
- Primary Deliverables
- Main Activities
- Database Support
- Data Technology Management
- Information Lifecycle and the SDLC
- Data Technology Management
- Data Technology Management (Brief History)
- Data Technology Management: Tool Genres (Illustrative)
- Modeling
- Development and Maintenance
- Database Systems
- Repositories
- Analytical and Reporting
- Data Quality
- Understand Data Technology Requirements
- DBA Responsibilities
- Database Environment
- Control Database Environment
- Factors Affecting Availability
- Manageability
- Recoverability
- Reliability
- Serviceability
- Availability
- Recoverability: Point in Time vs. Point of Failure
- Set Database Performance Service Levels
- Causes of Poor Database Performance
- Database Architecture Types
- Centralized
- Distributed, not Federated
- Federated
- Hierarchical, Relational, and Non-Relational
- Database Performance
- Waiting and Queuing
- Hotspots
- ACID vs. BASE
- Data Technology Architecture
- Technology Architecture Components: Considerations … “The Bricks”
- Current
- Deployment Period
- Strategic Period
- Retirement
- Preferred
- Containment
- Emerging
- Wrap Up
- Key Takeaways