Principles of data management :: facilitating information sharing /
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Swindon
BCS, The Chartered Institute for IT,
2022.
|
| Ausgabe: | Third edition. |
| Schriftenreihe: | ITpro collection
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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 required to successfully implement the data management function. This new edition adds chapters on linked data, concept systems and big data and artificial intelligence. |
| Beschreibung: | "BCS Learning & Development Limited" Part 1: PreliminariesChapter 1 Data and the enterpriseChapter 2 Databases and their developmentChapter 3 What is data management?Part 2: Data AdministrationChapter 4 Corporate data modellingChapter 5 Data definition and namingChapter 6 MetadataChapter 7 Data qualityChapter 8 Data accessibilityChapter 9 Master data managementPart 3: Database and Repository AdministrationChapter 10 Database administrationChapter 11 Repository administrationPart 4: The Data Management EnvironmentChapter 12 The use of packaged application softwareChapter 13 Distributed data and databasesChapter 14 Business intelligenceChapter 15 Object orientationChapter 16 MultimediaChapter 17 Integrating data and web technologyChapter 18 Linked dataChapter 19 Concept systemsChapter 20 Big data and artificial intelligenceAppendicesAppendix A Comparison of data modelling notationsAppendix B Generic data modelsAppendix C HTML and XMLAppendix D Techniques and skills for data managementAppendix E Data strategyAppendix F International standards for data managementAppendix G The BCS Data Management Essentials syllabus. |
| Beschreibung: | 1 online resource (280 pages) |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 1780175930 9781780175935 1780175922 9781780175928 |
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| 100 | 1 | |a Gordon, Keith, |e author. |1 https://isni.org/isni/0000000119185218. | |
| 245 | 1 | 0 | |a Principles of data management : |b facilitating information sharing / |c Keith Gordon. |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Swindon |b BCS, The Chartered Institute for IT, |c 2022. | |
| 264 | 4 | |c ©2022 | |
| 300 | |a 1 online resource (280 pages) | ||
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| 500 | |a "BCS Learning & Development Limited" | ||
| 500 | |a Part 1: PreliminariesChapter 1 Data and the enterpriseChapter 2 Databases and their developmentChapter 3 What is data management?Part 2: Data AdministrationChapter 4 Corporate data modellingChapter 5 Data definition and namingChapter 6 MetadataChapter 7 Data qualityChapter 8 Data accessibilityChapter 9 Master data managementPart 3: Database and Repository AdministrationChapter 10 Database administrationChapter 11 Repository administrationPart 4: The Data Management EnvironmentChapter 12 The use of packaged application softwareChapter 13 Distributed data and databasesChapter 14 Business intelligenceChapter 15 Object orientationChapter 16 MultimediaChapter 17 Integrating data and web technologyChapter 18 Linked dataChapter 19 Concept systemsChapter 20 Big data and artificial intelligenceAppendicesAppendix A Comparison of data modelling notationsAppendix B Generic data modelsAppendix C HTML and XMLAppendix D Techniques and skills for data managementAppendix E Data strategyAppendix F International standards for data managementAppendix G The BCS Data Management Essentials syllabus. | ||
| 520 | |a 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 required to successfully implement the data management function. This new edition adds chapters on linked data, concept systems and big data and artificial intelligence. | ||
| 545 | 0 | |a Keith Gordon has spent over 50 years in technical, education and training environments as an engineer, computer consultant, business analyst, education and training manager. He was an independent consultant and lecturer specialising in data management and business analysis and an associate lecturer with the Open University for 10 years. | |
| 588 | 0 | |a Description based upon online resource; title from PDF title page (viewed August 8st, 2022). | |
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 504 | |a Includes bibliographical references. | ||
| 650 | 0 | |a Database management. |0 http://id.loc.gov/authorities/subjects/sh85035848 | |
| 650 | 0 | |a Business |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85018264 | |
| 650 | 0 | |a Management |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85080339 | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 6 | |a Gestion |x Informatique. | |
| 650 | 7 | |a Databases. |2 bicssc | |
| 650 | 7 | |a Database design & theory. |2 bicssc | |
| 650 | 7 | |a Algorithms & data structures. |2 bicssc | |
| 650 | 7 | |a COMPUTERS / Data Processing. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS / Information Management. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Information Theory. |2 bisacsh | |
| 650 | 7 | |a Business |x Data processing |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Management |x Data processing |2 fast | |
| 650 | 7 | |a Databases. |2 thema | |
| 650 | 7 | |a Database design and theory. |2 thema | |
| 650 | 7 | |a Algorithms and data structures. |2 thema | |
| 653 | |a Data management & analytics | ||
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| contents | 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. |
| ctrlnum | (OCoLC)1315524374 |
| dewey-full | 005.74068 |
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| discipline | Informatik |
| edition | Third edition. |
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Learning & Development Limited"</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Part 1: PreliminariesChapter 1 Data and the enterpriseChapter 2 Databases and their developmentChapter 3 What is data management?Part 2: Data AdministrationChapter 4 Corporate data modellingChapter 5 Data definition and namingChapter 6 MetadataChapter 7 Data qualityChapter 8 Data accessibilityChapter 9 Master data managementPart 3: Database and Repository AdministrationChapter 10 Database administrationChapter 11 Repository administrationPart 4: The Data Management EnvironmentChapter 12 The use of packaged application softwareChapter 13 Distributed data and databasesChapter 14 Business intelligenceChapter 15 Object orientationChapter 16 MultimediaChapter 17 Integrating data and web technologyChapter 18 Linked dataChapter 19 Concept systemsChapter 20 Big data and artificial intelligenceAppendicesAppendix A Comparison of data modelling notationsAppendix B Generic data modelsAppendix C HTML and XMLAppendix D Techniques and skills for data managementAppendix E Data strategyAppendix F International standards for data managementAppendix G The BCS Data Management Essentials syllabus.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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 required to successfully implement the data management function. This new edition adds chapters on linked data, concept systems and big data and artificial intelligence.</subfield></datafield><datafield tag="545" ind1="0" ind2=" "><subfield code="a">Keith Gordon has spent over 50 years in technical, education and training environments as an engineer, computer consultant, business analyst, education and training manager. He was an independent consultant and lecturer specialising in data management and business analysis and an associate lecturer with the Open University for 10 years.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based upon online resource; title from PDF title page (viewed August 8st, 2022).</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Database management.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85035848</subfield></datafield><datafield tag="650" 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| id | ZDB-4-EBA-on1315524374 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:30:33Z |
| institution | BVB |
| isbn | 1780175930 9781780175935 1780175922 9781780175928 |
| language | English |
| oclc_num | 1315524374 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (280 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | BCS, The Chartered Institute for IT, |
| record_format | marc |
| series2 | ITpro collection |
| spelling | Gordon, Keith, author. https://isni.org/isni/0000000119185218. Principles of data management : facilitating information sharing / Keith Gordon. Third edition. Swindon BCS, The Chartered Institute for IT, 2022. ©2022 1 online resource (280 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier digital rdatr ITpro collection "BCS Learning & Development Limited" Part 1: PreliminariesChapter 1 Data and the enterpriseChapter 2 Databases and their developmentChapter 3 What is data management?Part 2: Data AdministrationChapter 4 Corporate data modellingChapter 5 Data definition and namingChapter 6 MetadataChapter 7 Data qualityChapter 8 Data accessibilityChapter 9 Master data managementPart 3: Database and Repository AdministrationChapter 10 Database administrationChapter 11 Repository administrationPart 4: The Data Management EnvironmentChapter 12 The use of packaged application softwareChapter 13 Distributed data and databasesChapter 14 Business intelligenceChapter 15 Object orientationChapter 16 MultimediaChapter 17 Integrating data and web technologyChapter 18 Linked dataChapter 19 Concept systemsChapter 20 Big data and artificial intelligenceAppendicesAppendix A Comparison of data modelling notationsAppendix B Generic data modelsAppendix C HTML and XMLAppendix D Techniques and skills for data managementAppendix E Data strategyAppendix F International standards for data managementAppendix G The BCS Data Management Essentials syllabus. 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 required to successfully implement the data management function. This new edition adds chapters on linked data, concept systems and big data and artificial intelligence. Keith Gordon has spent over 50 years in technical, education and training environments as an engineer, computer consultant, business analyst, education and training manager. He was an independent consultant and lecturer specialising in data management and business analysis and an associate lecturer with the Open University for 10 years. Description based upon online resource; title from PDF title page (viewed August 8st, 2022). 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. Includes bibliographical references. Database management. http://id.loc.gov/authorities/subjects/sh85035848 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Bases de données Gestion. Gestion Informatique. Databases. bicssc Database design & theory. bicssc Algorithms & data structures. bicssc COMPUTERS / Data Processing. bisacsh BUSINESS & ECONOMICS / Information Management. bisacsh COMPUTERS / Information Theory. bisacsh Business Data processing fast Database management fast Management Data processing fast Databases. thema Database design and theory. thema Algorithms and data structures. thema Data management & analytics has work: Principles of data management (Text) https://id.oclc.org/worldcat/entity/E39PCFR4v6MfGtRqRgBPD7vg83 https://id.oclc.org/worldcat/ontology/hasWork Print version: 9781780175911 Print version: 9781780175928 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3279824 Volltext |
| spellingShingle | Gordon, Keith Principles of data management : facilitating information sharing / 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. Database management. http://id.loc.gov/authorities/subjects/sh85035848 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Bases de données Gestion. Gestion Informatique. Databases. bicssc Database design & theory. bicssc Algorithms & data structures. bicssc COMPUTERS / Data Processing. bisacsh BUSINESS & ECONOMICS / Information Management. bisacsh COMPUTERS / Information Theory. bisacsh Business Data processing fast Database management fast Management Data processing fast Databases. thema Database design and theory. thema Algorithms and data structures. thema |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85035848 http://id.loc.gov/authorities/subjects/sh85018264 http://id.loc.gov/authorities/subjects/sh85080339 |
| title | Principles of data management : facilitating information sharing / |
| title_auth | Principles of data management : facilitating information sharing / |
| title_exact_search | Principles of data management : facilitating information sharing / |
| title_full | Principles of data management : facilitating information sharing / Keith Gordon. |
| title_fullStr | Principles of data management : facilitating information sharing / Keith Gordon. |
| title_full_unstemmed | Principles of data management : facilitating information sharing / Keith Gordon. |
| title_short | Principles of data management : |
| title_sort | principles of data management facilitating information sharing |
| title_sub | facilitating information sharing / |
| topic | Database management. http://id.loc.gov/authorities/subjects/sh85035848 Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Management Data processing. http://id.loc.gov/authorities/subjects/sh85080339 Bases de données Gestion. Gestion Informatique. Databases. bicssc Database design & theory. bicssc Algorithms & data structures. bicssc COMPUTERS / Data Processing. bisacsh BUSINESS & ECONOMICS / Information Management. bisacsh COMPUTERS / Information Theory. bisacsh Business Data processing fast Database management fast Management Data processing fast Databases. thema Database design and theory. thema Algorithms and data structures. thema |
| topic_facet | 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. |
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| work_keys_str_mv | AT gordonkeith principlesofdatamanagementfacilitatinginformationsharing |