DATA MANAGEMENT AND DATA DESCRIPTION. (2018)
- Record Type:
- Book
- Title:
- DATA MANAGEMENT AND DATA DESCRIPTION. (2018)
- Main Title:
- DATA MANAGEMENT AND DATA DESCRIPTION.
- Other Names:
- Williams, Richard
- Contents:
- Cover; Half Title; Title Page; Copyright Page; Contents; Acknowledgements; 1: Introduction; 1.1 The scope of data management; 1.2 Data management audience assumptions; 1.3 What is data management?; 1.4 The development of data processing; 1.5 The genesis of data management; 1.6 Data management in the 1990s; References; 2: Data Management and Data Modelling; 2.1 Investment in data management; 2.2 Primary data management techniques; 2.3 Data modelling techniques; 2.4 Data and meta data; 2.5 Corporate modelling; 2.6 The corporate meta model; 2.7 Why a corporate meta model is important 2.8 Corporate architecture modelling2.9 The development of corporate data models; 2.10 The development of business data models; References; 3: Data Management and Data Documentation; 3.1 Supporting data modelling; 3.2 Data documentation; 3.3 Generic data documentation properties; 3.4 Specific documentation properties; 3.5 Specific documentation properties of the logical data structure; 3.6 Specific documentation properties of entity life histories; 3.7 Specific documentation properties of event catalogues; 3.8 Specific documentation properties of data flow diagrams; 3.9 Data naming 3.10 Existing naming convention rules and procedures3.11 Requirements for a naming convention; 3.12 Basic rules and features of a naming convention; 3.13 Naming guidelines; 3.14 Features to be incorporated into the naming convention; 3.15 Points to note about naming conventions; 3.16 Classifying data item types; 3.17Cover; Half Title; Title Page; Copyright Page; Contents; Acknowledgements; 1: Introduction; 1.1 The scope of data management; 1.2 Data management audience assumptions; 1.3 What is data management?; 1.4 The development of data processing; 1.5 The genesis of data management; 1.6 Data management in the 1990s; References; 2: Data Management and Data Modelling; 2.1 Investment in data management; 2.2 Primary data management techniques; 2.3 Data modelling techniques; 2.4 Data and meta data; 2.5 Corporate modelling; 2.6 The corporate meta model; 2.7 Why a corporate meta model is important 2.8 Corporate architecture modelling2.9 The development of corporate data models; 2.10 The development of business data models; References; 3: Data Management and Data Documentation; 3.1 Supporting data modelling; 3.2 Data documentation; 3.3 Generic data documentation properties; 3.4 Specific documentation properties; 3.5 Specific documentation properties of the logical data structure; 3.6 Specific documentation properties of entity life histories; 3.7 Specific documentation properties of event catalogues; 3.8 Specific documentation properties of data flow diagrams; 3.9 Data naming 3.10 Existing naming convention rules and procedures3.11 Requirements for a naming convention; 3.12 Basic rules and features of a naming convention; 3.13 Naming guidelines; 3.14 Features to be incorporated into the naming convention; 3.15 Points to note about naming conventions; 3.16 Classifying data item types; 3.17 Defining data types; 3.18 An example of data item naming rules; 3.19 Abbreviations, and their use in a naming convention; 3.20 Addressing the challenges of data documentation; 3.21 Implementing the challenges; 3.22 Configuration management 3.23 Configuration management techniques for data management3.24 Defining configuration management for the data resource; 3.25 Configuration management of the data resource; References; 4: Data Management Tools; 4.1 Background issues; 4.2 Data management tool technology; 4.3 Data management documentation tools; 4.4 The purpose and function of a data dictionary; 4.5 Development of the data dictionary concepts; 4.6 Standard dictionary facilities; 4.7 Increasing the use of data management documentation tools; 4.8 CASE tools in data management: First generation products 4.9 CASE tools in data management: Problems of the first generation products4.10 Configuration management tools in data management; 4.11 Using automated tools to support data management; 4.12 Conclusions on data management tools; References; 5: Managing Data in an Organisation; 5.1 The data management authority issue; 5.2 Data management authority types and the organisational environment; 5.3 Authority definition; 5.4 The authority of data management in the organisation; 5.5 The functional definition of data management within an organisation; 5.6 Managing the data resource of the organisation … (more)
- Publisher Details:
- Place of publication not identified : ROUTLEDGE
- Publication Date:
- 2018
- Extent:
- 1 online resource (1 volume.)
- Subjects:
- 658.4038
Knowledge management
Data mining
Data mining
Knowledge management
BUSINESS & ECONOMICS / Industrial Management
BUSINESS & ECONOMICS / Management
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Organizational Behavior
Electronic books - Languages:
- English
- ISBNs:
- 9780429463662
0429463669
9780429873300
0429873301 - Related ISBNs:
- 1138612987
9781138612983 - Notes:
- Note: Print version record.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.375765
- Ingest File:
- 02_356.xml