Relational databases + database schemas
Databases organize persistent data so that it can be stored, related and accessed consistently. Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
What you need to be able to do
- ExplainThe features, benefits and limitations of a relational database
- DescribeDatabase schemas
Rapid Recall Deck
Say the answer aloud before flipping. Mark secure knowledge quickly and spend time on the gaps.
- What makes a database relational?: Data is organized into related tables whose records can be connected using keys and defined relationships.
- What is the purpose of a primary key?: It uniquely identifies each record in a table.
- What is the purpose of a foreign key?: It stores a value that references a key in another table, creating a relationship between records.
- What is a composite key?: A key formed from two or more attributes/fields that together uniquely identify a record.
- What are major benefits of relational databases?: Examples include data consistency/integrity, reduced duplication, concurrency control, reliable transactions, security, scalability, and powerful retrieval.
- What are conceptual, logical, and physical schemas?: Conceptual schema describes the high-level data model; logical schema defines organized structures/relationships; physical schema describes how the data is actually stored and accessed.
- What are common limitations of relational databases?: Rigid schemas, design complexity, challenges with hierarchical or unstructured data, object-relational impedance mismatch, and scalability issues for some very large data workloads.
Core knowledge and application
The features, benefits and limitations of a relational database
Databases organize persistent data so that it can be stored, related and accessed consistently.
Explain it without notes
Explain: The features, benefits and limitations of a relational database in the context of a school library storing users, books and loans.
- Features: composite keys, foreign keys, primary keys, relationships, tables
- Benefits of databases: community support, concurrency control, data consistency, data integrity, data retrieval, reduced data duplication, reduced redundancy, reliable transaction processing, scalability, security features
- Limitations of databases: “big data” scalability issues, design complexity, hierarchical data handling, rigid schema, object-relational impedance mismatch, unstructured data handling
Database schemas
Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
Explain it without notes
Describe: Database schemas in the context of a library database being redesigned to reduce redundancy and anomalies.
- Conceptual schema, logical schema, physical schema
- Abstract definitions of the data structure and organization of the data at different levels
Transfer to a new scenario
- Features: composite keys, foreign keys, primary keys, relationships, tables
- Benefits of databases: community support, concurrency control, data consistency, data integrity, data retrieval, reduced data duplication, reduced redundancy, reliable transaction processing, scalability, security features
- Conceptual schema, logical schema, physical schema
- Abstract definitions of the data structure and organization of the data at different levels
Paper 1 practice
- Explain: The features, benefits and limitations of a relational database in the context of a school library storing users, books and loans.
- Describe: Database schemas in the context of a school library storing users, books and loans.
Finish the learning cycle
IA — main task
Complete Criterion E and final IA quality checks. Evaluate the product against success criteria and propose specific, feasible improvements.
Syllabus — short
Complete a short Paper 1 retrieval task; keep the IA as the main workload.