Principles of data management : facilitating information sharing /

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Data is a valuable corporate asset and its effective management is vital to an organisation's success. This professional guide covers all the key areas of data management, including database development and corporate data modelling. It is business-focused, providing the knowledge and techniques...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gordon, Keith (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Swindon BCS, The Chartered Institute for IT, 2022.
Edición:Third edition.
Colección:ITpro collection
Temas:
Database management.
Business > Data processing.
Management > Data processing.
Bases de données > Gestion.
Gestion > Informatique.
Databases.
Database design & theory.
Algorithms & data structures.
COMPUTERS / Data Processing.
BUSINESS & ECONOMICS / Information Management.
COMPUTERS / Information Theory.
Business > Data processing
Database management
Management > Data processing
Database design and theory.
Algorithms and data structures.
Data management & analytics
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Half-Title Page
  • BCS, The Chartered Institute for It
  • Title Page
  • Copyright Page
  • Contents
  • List of figures
  • About the author
  • Foreword to the first edition
  • Abbreviations
  • Glossary
  • Preface
  • Introduction
  • PART 1: PRELIMINARIES
  • 1. DATA AND THE ENTERPRISE
  • Information is a key business resource
  • The relationship between information and data
  • The data landscape
  • The importance of the quality of data
  • The common problems with data
  • An enterprise-wide view of data
  • Managing data is a business issue
  • Summary
  • 2. DATABASES AND THEIR DEVELOPMENT
  • The database architecture of an information system
  • Types of database
  • An overview of the database development process
  • Conceptual data modelling (from a project-level perspective)
  • Relational data analysis
  • The roles of a data model
  • Physical database design
  • Summary
  • 3. WHAT IS DATA MANAGEMENT?
  • The problems encountered without data management
  • Data management responsibilities
  • Data management activities
  • Roles within data management
  • The benefits of data management
  • The relationship between data management and enterprise architecture
  • Summary
  • PART 2: DATA ADMINISTRATION
  • 4. CORPORATE DATA MODELLING
  • Why develop a corporate data model?
  • The nature of a corporate data model
  • How to develop a corporate data model
  • Corporate data model principles
  • Summary
  • 5. DATA DEFINITION AND NAMING
  • The elements of a data definition
  • Data naming conventions
  • Summary
  • 6. METADATA
  • What is metadata?
  • Metadata for data management
  • Metadata for content management
  • Metadata for describing data values
  • Summary
  • 7. DATA QUALITY
  • What is data quality?
  • Issues associated with poor data quality
  • The causes of poor data quality
  • The dimensions of data quality
  • Metadata quality
  • Data model quality.
  • Approaches to improving data quality
  • Improving data quality is a business issue
  • Summary
  • 8. DATA ACCESSIBILITY
  • Data security
  • Data integrity
  • Data recovery
  • Summary
  • 9. MASTER DATA MANAGEMENT
  • What is master data?
  • How do problems with master data occur?
  • How do we manage master data?
  • Summary
  • PART 3: DATABASE AND REPOSITORY ADMINISTRATION
  • 10. DATABASE ADMINISTRATION
  • Database administration responsibilities
  • Performance monitoring and tuning
  • Summary
  • 11. REPOSITORY ADMINISTRATION
  • Repositories, data dictionaries, encyclopaedias, catalogs and directories
  • Repository features
  • The repository as a centralised source of information
  • Metadata models
  • Summary
  • PART 4: THE DATA MANAGEMENT ENVIRONMENT
  • 12. THE USE OF PACKAGED APPLICATION SOFTWARE
  • What are application software packages?
  • The impact on data management
  • Summary
  • 13. DISTRIBUTED DATA AND DATABASES
  • The rationale for distributing data
  • The perfect distributed database system?
  • Top-down fragmentation and partitioning
  • Bottom-up integration
  • The management of replication
  • Summary
  • 14. BUSINESS INTELLIGENCE
  • An introduction to data warehousing
  • The multidimensional model of data
  • Standard reporting tools
  • Online analytical processing
  • Data mining
  • A relational schema for a data warehouse
  • Summary
  • 15. OBJECT ORIENTATION
  • What is object orientation?
  • The fundamental concepts of object orientation
  • Object-oriented databases
  • Object-relational databases
  • Summary
  • 16. MULTIMEDIA
  • What is multimedia?
  • Storing multimedia outside a database
  • Storing multimedia inside a database
  • Storing multimedia using special packages
  • Summary
  • 17. INTEGRATING DATA AND WEB TECHNOLOGY
  • The World Wide Web
  • XML and databases
  • Other ways to link databases into web technology
  • Cloud computing.
  • The Semantic Web
  • Summary
  • 18. LINKED DATA
  • What is linked data?
  • Uniform Resource Identifiers
  • The HyperText Transfer Protocol
  • Resource Description Framework
  • Summary
  • 19. CONCEPT SYSTEMS
  • Introducing concepts and concept systems
  • The generic structure of a concept system
  • The classification of concept systems
  • What makes a good concept system?
  • Summary
  • 20. BIG DATA AND ARTIFICIAL INTELLIGENCE
  • The data explosion
  • What is Big Data?
  • How is Big Data stored?
  • How is Big Data used?
  • The data lake concept
  • What is artificial intelligence?
  • Artificial intelligence and data
  • Big Data and artificial intelligence ethics
  • Summary
  • APPENDICES
  • APPENDIX A COMPARISON OF DATA MODELLING NOTATIONS
  • APPENDIX B GENERIC DATA MODELS
  • APPENDIX C HTML AND XML
  • APPENDIX D TECHNIQUES AND SKILLS FOR DATA MANAGEMENT
  • APPENDIX E DATA STRATEGY
  • APPENDIX F INTERNATIONAL STANDARDS FOR DATA MANAGEMENT
  • APPENDIX G THE BCS DATA MANAGEMENT ESSENTIALS SYLLABUS
  • Further reading
  • Index
  • Back Cover.

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