Database design
Database design is the process of planning how data is stored, organized, and accessed in a database system. It typically starts with requirements—what information must be captured, how it will be used, and what constraints apply (e.g., uniqueness, validity, security).
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Database design (en-US)
Database design is the process of planning how data is stored, organized, and accessed in a database system. It typically starts with requirements—what information must be captured, how it will be used, and what constraints apply (e.g., uniqueness, validity, security).
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Core steps and key concepts
Common steps include: (1) conceptual modeling (entities, relationships, and business rules), (2) logical design (tables/collections, attributes, relationships, and normalization), and (3) physical design (indexes, storage layout, partitioning, and performance tuning). Key concepts include primary keys, foreign keys, data types, constraints (NOT NULL, CHECK), normalization to reduce redundancy, and denormalization when justified for performance. Good design also considers scalability, backup/recovery, auditability, and query patterns so the database supports expected workloads efficiently and safely.
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FAQ
• What is normalization? It’s structuring data to minimize redundancy and update anomalies, often using normal forms. • What’s the difference between conceptual and logical design? Conceptual focuses on business concepts; logical translates them into a structured data model. • How do indexes affect performance? Indexes speed up reads for specific queries but add overhead for writes and storage.
Client endpoint
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