DMBK0: DMBoK and CDMP Preparation Learning Plan
The DMBoK and CDMP® Preparation Learning Plan addresses all of the Information Management disciplines as defined in the international industry standard, the DAMA International Data Management Body of Knowledge (DMBoK®). In each course, instructor Christopher Bradley (a CDMP fellow) provides a solid foundation of the different information disciplines across the complete DMBoK spectrum. This 12-course Learning Plan offers more than 20 hours of instructional video material, as well as practice quizzes, and final exams for each course.
Learning Plan Description
The DMBoK and CDMP® Preparation Learning Plan addresses all of the Information Management disciplines as defined in the international industry standard, the DAMA International Data Management Body of Knowledge (DMBoK®). In each course, instructor Christopher Bradley (a CDMP fellow) provides a solid foundation of the different information disciplines across the complete DMBoK spectrum. This 12-course Learning Plan offers more than 20 hours of instructional video material, as well as practice quizzes, and final exams for each course.
This plan provides a comprehensive exploration of the scope of Data Management as a whole, and therefore is an excellent resource for organizations and individuals wishing to gain more extensive knowledge of the disciplines covered in the DMBoK.
By utilizing this Learning Plan as preparation for the DAMA International Certified Data Management Professional (CDMP) exams, students will gain a firm understanding of a broad range of concepts and be able to explain the practical application of them throughout various industry examples.
This Learning Plan introduces students to the different levels of the CDMP certification and helps students consolidate their existing knowledge by reinforcing Data Management topics contained in the CDMP syllabus at all levels.
The DAMA International-endorsed Learning Plan was developed by DATAVERSITY, DAMA International, and Christopher Bradley, the former VP of Professional Development at DAMA.
Learning Plan Price: $1599
Individual Course Prices: $159
Learning Plan CEUs: 20
Each Course Includes:
- A 1-hour to 2.5-hour educational training video
- An 11- to 18-question final practice exam for each course
- A 5- to 11-question in-course practice test, where each question is discussed in detail by the instructor at the end of each course video
- Multiple “check for understanding” practice quizzes throughout each course
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the DMBoK and CDMP Preparation Learning Plan:
- The Data Management Process, DMBoK, and Overview of the CDMP Certification
- Data Governance (Including Data Ethics)
- Data Quality Management
- Master and Reference Data Management
- Data Warehousing and Business Intelligence Management (Including Big Data)
- Data Modeling
- Metadata Management
- Data Architecture and Lifecycle Management
- Data Security Management
- Document and Content Management
- Data Storage and Operations Management
- Data Integration and Interoperability
We offer several bulk licensing options for corporate and group use.
Contact us for a follow-up discussion!
Thank you for you interest in this CDMP content. With purchase you will receive a 20% discount on any DAMA International CDMP Exams.
DATAVERSITY and DAMA International are different companies, we have created this course in partnership to help our data professional communities advance their data knowledge and careers. If you have questions on the CDMP exams or a DAMA International membership, please contact them through their website, as DATAVERSITY is not involved in that process: Dama.org
DATAVERSITY is a DAMA-endorsed education partner: https://www.dama.org/cpages/partners
CDMP Testing Information
The CDMP examination can be taken online from DAMA International or at a number of different DATAVERSITY face-to-face conferences.
To learn about the exams, subject outlines, pricing, and re-certification, please visit https://cdmp.info/.
Enhance Your Data Management Career
The CDMP® credential is awarded to those who qualify based on a combination of criteria including education, experience and test-based examination of professional level knowledge. This certification was established by DAMA International in 2004 as the gold standard for measuring accomplishment in the Data Management field.
The Revamped CDMP Structure
In today's world, Data Management professionals are no longer all coming from IT. In fact, more and more are evolving from a business role, which means that our profession is coming into it's own. It also means that the tradition of certifying with a core IT exam has changed. DAMA International has seen this change coming and has elected to revamp the CDMP to enable business DM professionals to certify. We have also seen that people are "getting into data" a lot earlier in their careers and are all excited about being certified. So what does the new CDMP look like? The new approach provides a career path; it also allows individuals to grow through the levels and actually see a benefit early on in the process. We are very pleased to announce the revamped structure below:
- The CDMP Associate
- The CDMP Practitioner
- The CDMP Master
- The CDMP Fellow
Here are some Frequently Asked Questions regarding the recent changes to the CDMP®.
For further information on the CDMP® designation and examinations, please contact [email protected].
DATAVERSITY Face-to-Face Conference Examinations
For face-to-face examinations you will need to bring your own laptop or tablet. If you take the exam at aconference and fail, you will not have to pay. It's a pay for pass exclusive deal!
Click on the conference link and it will take you to current information on each conference:
Complete All Twelve Courses
1. DMBK1: The Data Management Process, DMBoK, and Overview of the CDMP Certification
required
The course sets the foundation for the entire DMBoK and CDMP® Preparation Learning Plan. It discusses what Data Management is, along with drivers and issues concerning organizations. It presents the intended purpose and scope of the DAMA International Data Management Body of Knowledge (DMBoK®), as well as gives a full overview of the disciplines within. Other topics included in this course are changes in the DMBoK and relationships of the DMBoK to other frameworks such as TOGAF and COBIT.
View Details2. DMBK2: Data Governance (Including Data Ethics)
required
The course covers Data Governance within the DAMA Body of Knowledge (DMBoK®) in depth. It looks at why Data Governance is central to successful Data Management, roles and responsibilities, drivers and issues, reference models, organizational structures, and principles. It also discusses the role of the Data Governance Office and how to get started with Data Governance. Lastly, it covers the topic of Data Ethics, the information lifecycle, the importance of data for organizations, how Data Governance and Data Quality are linked, benefits and implications, and so much more.
View Details3. DMBK3: Data Quality Management
required
The course covers Data Quality Management within the DAMA Body of Knowledge (DMBoK®) in depth. It discusses the many different parts of Data Quality and why validity is often confused with quality. It discusses the dimensions of Data Quality as well as the policies, procedures, metrics, technology, and resources for ensuring Data Quality. It looks at a specific reference model, as well as root cause analysis, tools that helps support Data Quality Management, creation and monitoring of Data Quality measures, and various myths and pitfalls around Data Quality Management.
View Details4. DMBK4: Master and Reference Data Management
required
The course covers Master and Reference Data Management within the DAMA Body of Knowledge (DMBoK®) in depth. It looks at the many components necessary to leverage reference and master data. It discusses their differences, identification of resources, different Master Data Management (MDM) architectures, maturity assessments, and aligning with business processes. It also discusses different MDM solutions and approaches, as well as the relationships between MDM, Data Quality, and Data Governance.
View Details5. DMBK5: Data Warehousing and Business Intelligence Management (Including Big Data)
required
The course covers Data Warehousing and Business Intelligence within the DAMA Body of Knowledge (DMBoK®) in depth. What is data warehousing and Business Intelligence (BI) Management? Why are they important Data Management disciplines? What types of models are there? This course covers these questions, along with various characteristics of data warehouse and BI platforms, dimensions and hierarchies, dimensional modeling, E/R modeling, implementation of warehouses and marts, data visualization, and more. It also addresses the fundamentals of Big Data.
View Details6. DMBK6: Data Modeling
required
The course covers Data Modeling within the DAMA Body of Knowledge (DMBoK®) in depth. It explores numerous essential features of contemporary Data Modeling, including the System Development Lifecycle (SDLC), modeling styles, analysis and solution design, detailed data designs, Design Quality Management, types of data models, and data implementation, among many others.
View Details7. DMBK7: Metadata Management
required
The course covers Metadata Management within the DAMA Body of Knowledge (DMBoK®) in depth. Metadata Management is defined in the DMBoK as “the planning, implementation, and control activities to enable access to high quality, integrated metadata.” This course covers all the key areas around metadata and Metadata Management. That includes an in-depth discussion around definitions, usage, and implementation of metadata, as well as practical examples. It also explores why organizations need metadata, the differences between data and metadata, types of metadata, architectures, lineage, benefits, and the relationship between Data Governance and Metadata Management.
View Details8. DMBK8: Data Architecture and Lifecycle Management
required
The course covers Data Architecture and Lifecycle Management within the DAMA Body of Knowledge (DMBoK®) in depth. It dives deep into a discussion around Data Architecture, Enterprise Architecture, and Lifecycle Management. It covers types of architectures, proactive planning around the data lifecycles from inception and acquisition though provisioning, exploitation, and destruction. It also discusses the data value chain, differences between lifecycles and systems development, and alignment with business models.
View Details9. DMBK9: Data Security Management
required
The course covers Data Security Management within the DAMA Body of Knowledge (DMBoK®) in depth. Some of the key goals of Data Security Management include enabling appropriate access to organizational data assets and prevention of inappropriate usage. It is also an essential component in regulatory compliance, ensuring privacy and confidentiality of enterprise data assets. This course takes an in-depth look at the guiding principles, drivers, requirements, standards, categories of control, risk assessment, permissions, monitoring, and many other essential components of Data Security Management.
View Details10. DMBK_10: Document and Content Management
required
The course covers Document and Content Management within the DAMA Body of Knowledge (DMBoK®) in depth. Effective Document and Content Management is an important discipline within the Data Management landscape. It helps to safeguard and ensure the availability of semi-structured and unstructured data assets, enables efficient retrieval of such assets from various enterprise platforms and systems, and aids in compliance and audit practices. Such practices also help to ensure business continuity through retention, recovery, and conversion practices, along with lowering operating costs. This course covers a range of key topics around Document and Content Management.
View Details11. DMBK_11: Data Storage and Operations Management
required
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.
View Details12. DMBK_12: Data Integration and Interoperability
required
The course covers Data Integration and Interoperability within the DAMA Body of Knowledge (DMBoK®) in depth. It looks at applying Data I&I practices and solutions across the enterprise, as well as its core concepts and how it is used to support BI, analytics, MDM, and other operational efficiency efforts. It discusses data interchange, hub distributions, SOA, ETL, ELT, CDC, data replication, and where it all fits within Data Governance and expanded Data Management activities.
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