The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK)

by Dama International

Overview

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.

Product Details

ISBN-13:	9781935504023
Publisher:	Technics Publications
Publication date:	01/01/2010
Edition description:	New Edition
Pages:	432
Product dimensions:	8.50(w) x 10.90(h) x 1.20(d)

Table of Contents

Data Management Overview 17
2.1 Introduction 17
2.2 Mission and Goals 18
2.3 Guiding Principles 19
2.4 Functions and Activities 19
2.4.1 Data Management Activities 21
2.4.2 Activity Groups 24
2.5 Context Diagram Overview 27
2.5.1 Suppliers 27
2.5.2 Inputs 28
2.5.3 Participants 28
2.5.4 Tools 28
2.5.5 Primary Deliverables 28
2.5.6 Consumers 28
2.5.7 Metrics 28
2.6 Roles 29
2.6.1 Types of Organizations 29
2.6.2 Types of Individual Roles 30
2.7 Technology 30
2.7.1 Software Product Classes 31
2.7 Technology 31
2.7.1 Software Product Classes 31
2.7.2 Specialized Hardware 35
2.8 Recommended Reading 35
3 Data Governance 37
3.1 Introduction 37
3.2 Concepts and Activities 37
3.2.1 Data Governance 38
3.2.2 Data Stewardship 39
3.2.3 Data Governance and Stewardship Organizations 41
3.2.4 Data Management Services Organizations 43
3.2.5 The Data Management Executive 44
3.2.6 The Data Governance Office 44
3.3 Data Governance Activities 45
3.3.1 Data Strategy 45
3.3.2 Data Policies 47
3.3.3 Data Architecture 48
3.3.4 Data Standards and Procedures 48
3.3.5 Regulatory Compliance 49
3.3.6 Issue Management 50
3.3.7 Data Management Projects 52
3.3.8 Data Management Services 53
3.3.9 Data Asset Valuation 53
3.3.10 Communication and Promotion 54
3.3.11 Related Governance Frameworks 55
3.4 Summary 56
3.4.1 Guiding Principles 56
3.4.2 Process Summary 57
3.4.3 Organizational and Cultural Issues 59
3.5 Recommended Reading 61
3.5.1 Websites 61
3.5.2 Prominent Books 61
3.5.3 Regulatory and Compliance Books 62
3.5.4 General Books 62
4 Data Architecture Management 63
4.1 Introduction 63
4.2 Concepts and Activities 64
4.2.1 Architecture Overview 65
4.2.2 Activities 72
4.3 Summary 80
4.3.1 Guiding Principles 81
4.3.2 Process Summary 82
4.3.3 Organizational and Cultural Issues 84
4.4 Recommended Reading 85
4.4.1 Books 85
4.4.2 Articles and Websites 86
5 Data Development 87
5.1 Introduction 87
5.2 Concepts and Activities 87
5.2.1 System Development Lifecycle (SDLC) 87