What is DAMA International?
DAMA International is the Data Management Association, a global community of data practitioners who share their knowledge and experience through conferences, publications, webinars, certification programs, and local chapters. DAMA International was founded in 1980 and has grown to over 40 chapters worldwide. DAMA International's vision is to support an empowered global community of information professionals who leverage data as an asset. DAMA International's mission is to provide a trusted network for advancing the concepts and practices of information and data management.
What are the 11 knowledge areas of DAMA-DMBOK?
The 11 knowledge areas of DAMA-DMBOK are the following:
Data Governance: The exercise of authority, control, and shared decision making over the management of data assets.
Data Architecture: The design of data structures, models, standards, and processes that support the business goals and requirements.
Data Modeling and Design: The analysis, representation, and implementation of data structures and relationships.
Data Storage and Operations: The physical storage, access, and manipulation of data in various media and platforms.
Data Security: The protection of data from unauthorized access, use, modification, or destruction.
Data Integration and Interoperability: The combination and exchange of data from different sources and systems.
Documents and Content: The management of unstructured or semi-structured data in various formats and media.
Reference and Master Data: The management of consistent, shared, and authoritative data values across the enterprise.
Data Warehousing and Business Intelligence: The collection, integration, analysis, and presentation of data to support business decision making.
Metadata: The definition, documentation, and administration of data elements, attributes, structures, relationships, and rules.
Data Quality: The assessment, improvement, and monitoring of the accuracy, completeness, timeliness, consistency, and fitness for purpose of data.
Each knowledge area has its own objectives, principles, processes, roles, deliverables, metrics, tools, techniques, standards, guidelines, best practices, challenges, issues, trends, and opportunities. DAMA-DMBOK provides a detailed description of each knowledge area along with examples and references.
How can DAMA-DMBOK help data professionals?
DAMA-DMBOK can help data professionals in various ways:
It can serve as a reference guide for learning best practices in data management.
It can help prepare for the Certified Data Management Professional (CDMP) exam that validates the knowledge and skills of data professionals.
It can help build and implement data management practices within their organizations that align with the business goals and requirements.
It can help establish a formal vocabulary for communicating with other data professionals and stakeholders.
It can help clarify the scope and limitations of data management activities and potential alternatives for specific situations.
It can help identify the gaps and opportunities for improving the current state of data management maturity within their organizations.
Where can I get DAMA-DMBOK?
You can get DAMA-DMBOK from the following sources:
You can purchase the second edition of DAMA-DMBOK from [Amazon] or other online retailers.
You can download the first edition of DAMA-DMBOK for free from [DAMA International's website].
You can access other resources related to DAMA-DMBOK such as webinars, case studies, and articles from [DAMA International's website] or [DATAVERSITY].
You can join a local chapter of DAMA International and network with other data professionals who use DAMA-DMBOK in their work.
DAMA-DMBOK is a valuable resource for anyone who is involved with data management. It provides a comprehensive and consistent framework for understanding, implementing, and improving data management practices. It also reflects the current and emerging trends and challenges in the data world. By using DAMA-DMBOK, data professionals can enhance their knowledge, skills, and credibility in the field of data management.
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