Database Design
Database design is the foundation of reliable data systems. From relational to NoSQL, effective choices in deployment, security, and maintenance safeguard integrity, compliance, and performance. Data analysts must understand these principles to access, retrieve, and use data confidently across scalable, secure systems.
Technique Overview
Database Design Definition
Database design is the process of defining data structures, relationships, and access methods to ensure efficient storage, retrieval, and security. It involves selecting database types (e.g., relational, NoSQL), designing schemas, configuring deployment environments, and maintaining systems through backups, archiving, and security protocols (Elmasri & Navathe, 2016).
Database Design Description *
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Business Evidence
Strengths, weaknesses and examples of Database Design *
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Business Application
Implementation, success factors and measures of Database Design *
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Professional Tools
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Further Reading
Database Design web and print resources *
Database Design references (4 of up to 20) *
- Toj Teorey (2011). Database modeling and design : logical design. Amsterdam ; Boston: Morgan Kaufmann Publishers.
- Ballard, C., Herreman, D., Schau, D., Bell, R., Kim, E. and Valencic, A., 1998. Data modeling techniques for data warehousing (p. 25). San Jose: IBM Corporation International Technical Support Organization. available at: http://eddyswork.synthasite.com/resources/Data%20Modeling%20Tech%20For%20Data%2
- Ceri, S., Pernici, B. and Wiederhold, G. (1987). Distributed Database Design Methodologies. Proceedings of the IEEE, 75(5), pp.533–546. doi:https://doi.org/10.1109/proc.1987.13771
- Linnemann, V., Kflspert, K., Dadam, P., Plstor, P., Erbe, A., Kernper, Sildkamp, N., Walch, G. and Wallrath', M. (1988). Design and Implementation of an Extensible Database Management System Supporting User Defined Data Types and Functions. [online] Available at: https://vldb.org/conf/1988/P294.PDF
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