The Dama Guide to the Data Management Body of Knowledge 1st edition by DAMA International – Ebook PDF Instant Download/Delivery:0977140083 ,978-0977140084
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ISBN 10: 0977140083
ISBN 13:978-0977140084
Author:DAMA International
Written by over 120 data management practitioners, the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on:
- Data Governance
- Data Architecture Management
- Data Development
- Database Operations Management
- Data Security Management
- Reference & Master Data Management
- Data Warehousing & Business Intelligence Management
- Document & Content Management
- Meta Data Management
- Data Quality Management
- Professional Development
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.
The Editors are Mark Mosley, Editor – Development, Michael Brackett, Editor – Production, Susan Earley, Assistant Editor, and Deborah Henderson, Project Sponsor. The Foreword is by John Zachman (DAMA I Lifetime Achievement Award recipient), the Preface is by John Schley (DAMA International President) and Deborah Henderson (DAMA Foundation President, DAMA International VP Education and Research), and the Afterword is by Michael Brackett (DAMA International Lifetime Achievement Award recipient).
From the Foreword by John Zachman:
The book is an exhaustive compilation of every possible subject and issue that warrants consideration in initiating and operating a Data Management responsibility in a modern Enterprise. It is impressive in its comprehensiveness. It not only identifies the goals and objectives of every Data Management issue and responsibility but it also suggests the natural organizational participants and end results that should be expected.
The publication began as a non-trivial, sorely needed compilation of articles and substantive facts about the little understood subject of data management orchestrated by some folks from the DAMA Chicago Chapter. It was unique at the time as there was little substantive reference material on the subject. It has grown to become this pragmatic practitioners handbook that deserves a place on every Data Management professionals bookshelf. There is a wealth of information for the novice data beginner, but it is also invaluable to the old timer as a check-list and validation of their understanding and responsibilities to ensure that nothing falls through the cracks! It is impressive in it breadth and completeness.
The DAMA-DMBOK Guide deserves a place on every Data Management professionals bookshelf and for the General Manager, it will serve as a guide for setting expectations and assigning responsibilities for managing and practicing what has become the very most critical resource owned by an Enterprise as it (the Enterprise) progresses into the Information Age: DATA!
The Dama Guide to the Data Management Body of Knowledge 1st Table of contents:
• Overview of Data Management
• Data Management Framework
• Goals and Principles of Data Management
2. Data Governance
• Definition and Importance of Data Governance
• Key Roles and Responsibilities
• Data Governance Processes and Activities
3. Data Architecture Management
• Data Architecture Concepts
• Data Modeling and Design
• Managing Data Standards
4. Data Development
• Data Development Process
• Requirements Gathering and Analysis
• Data Integration and ETL (Extract, Transform, Load)
5. Data Operations Management
• Data Operations Overview
• Database Management
• Backup and Recovery Strategies
6. Data Security Management
• Data Security Concepts
• Data Privacy and Protection
• Security Roles and Responsibilities
7. Reference and Master Data Management
• Importance of Master Data
• Reference Data Standards
• Master Data Lifecycle
8. Data Warehousing and Business Intelligence Management
• Data Warehousing Concepts
• Business Intelligence and Analytics
• Reporting and Dashboards
9. Document and Content Management
• Document Management Concepts
• Content Lifecycle
• Managing Unstructured Data
10. Meta Data Management
• Metadata Concepts and Types
• Metadata Repositories
• Metadata and Data Lineage
11. Data Quality Management
• Definition of Data Quality
• Data Quality Dimensions
• Data Cleansing and Profiling
12. Big Data and Data Science Management
• Big Data Concepts
• Data Science and Machine Learning
• Managing Data Lakes and Data Pipelines
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