The DAMA Guide to The Data Management Body of Knowledge (DAMA-DMBOK Guide), First Edition

The DAMA Data Management Body of Knowledge (DAMA-DMBOK) delivers a full spectrum view of data management. It documents the generally accepted data management principals gleaned from an international team of professionals from the public, private, and academic sectors.

This guide provides:

• Current professionals a documented reference of best practices and resources which have been selected as foundational for their profession by their peers.
• Organizations and enterprises a jump-start to the creation or improvement of existing data management functions.
• Academics a primary or seminal reference to the knowledge required for success as a Certified Data Management Professional and as a textbook for survey courses in data management.

The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK offers the best practices from real-world experience to individuals and organizations that are looking for a framework that will help them manage their data and mature their information infrastructure. The DAMA-DMBOK provides information on:

• Data Governance – planning, supervision and control over data management and use.
• Data Architecture Management – as an integral part of the enterprise architecture.
• Data Development – analysis, design, building, testing, deployment and maintenance.
• Database Operations Management – support for structured physical data assets.
• Data Security Management – ensuring privacy, confidentiality and appropriate access.
• Reference & Master Data Management – managing golden versions and replicas.
• Data Warehousing & Business Intelligence Management – enabling access to decision support data for reporting and analysis.
• Document & Content Management – storing, protecting, indexing and enabling access to data found in unstructured sources (electronic files and physical records).
• Meta Data Management – integrating, controlling and delivering meta data.
• Data Quality Management – defining, monitoring and improving data quality.
• Professional Development - Data management as a career, certification, ethics for the data professional

As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are:

• To build consensus for a generally applicable view of data management functions.
• To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology.
• To document guiding principles for data management.
• To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches.
• To clarify the scope and boundaries of data management.
• To act as a reference which guides readers to additional resources for further understanding.

Developed through a two-year special project by DAMA International, more than 120 individual data management practitioners from around the world were involved in developing, reviewing, and producing the Guide; they are all listed in the Acknowledgments. There are over 80 figures and tables, recommended reading for each chapter, an extensive Bibliography, Appendices, and a 14 page Index.