Principles of data management : facilitating information sharing
Author
Published
Swindon BCS, The Chartered Institute for IT, 2022.
Status
Available Online
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Format
Edition
Third edition.
Language
English
ISBN
1780175930, 9781780175935
Notes
General Note
"BCS Learning & Development Limited"
General Note
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.
Description
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.
Biographical or Historical Data
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.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Gordon, K. (2022). Principles of data management: facilitating information sharing (Third edition.). BCS, The Chartered Institute for IT.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Gordon, Keith. 2022. Principles of Data Management: Facilitating Information Sharing. BCS, The Chartered Institute for IT.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Gordon, Keith. Principles of Data Management: Facilitating Information Sharing BCS, The Chartered Institute for IT, 2022.
MLA Citation, 9th Edition (style guide)Gordon, Keith. Principles of Data Management: Facilitating Information Sharing Third edition., BCS, The Chartered Institute for IT, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
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Grouping Information
| Grouped Work ID | ee0d0c38-1968-b6d2-7ab3-9c368d4d1f70-eng |
|---|---|
| Full title | principles of data management facilitating information sharing |
| Author | gordon keith |
| Grouping Category | book |
| Last Update | 2024-03-29 07:51:22AM |
| Last Indexed | 2024-04-17 02:40:41AM |
Book Cover Information
| Image Source | contentCafe |
|---|---|
| First Loaded | Dec 8, 2023 |
| Last Used | Feb 25, 2024 |
Marc Record
| First Detected | Mar 20, 2023 10:17:17 AM |
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| Last File Modification Time | Mar 20, 2023 10:17:17 AM |
| Suppressed | Record had no items |
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| 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. | ||
| 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. | |
| 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). | |
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 653 | |a Data management & analytics | ||
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| 776 | 0 | 8 | |i Print version:|z 9781780175928 |
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