ERDs, data types and relational table construction
Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
What you need to be able to do
- ConstructERDs
- OutlineThe different data types used in relational databases
- ConstructTables for relational databases
Rapid Recall Deck
Say the answer aloud before flipping. Mark secure knowledge quickly and spend time on the gaps.
- What is an entity in an ERD?: A person, object, event, or concept about which the database stores data.
- What does a relationship in an ERD show?: How two entities are associated with one another.
- What does cardinality describe?: The maximum number of instances that may participate in a relationship, such as one-to-one, one-to-many, or many-to-many.
- What does modality describe?: Whether participation in a relationship is optional or mandatory—the minimum participation.
- How do primary and foreign keys link relational tables?: A primary key uniquely identifies a row in one table; a foreign key in another table stores a matching value to reference that row.
- Why does choosing the correct data type matter in a relational table?: It supports valid values, consistent comparisons/storage, integrity, and efficient operations; the wrong type can cause invalid data or conversion/processing problems.
- What is the purpose of a composite or concatenated key?: To use multiple fields together when no single field uniquely identifies the required record or relationship.
Core knowledge and application
ERDs
Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
Explain it without notes
Construct: ERDs in the context of a library database being redesigned to reduce redundancy and anomalies.
- The significance of entity relationship diagrams (ERDs) in crafting organized, efficient database designs tailored for specific applications
- The relationships between different data entities within a database
- Roles of cardinality and modality in defining relationships in ERDs
The different data types used in relational databases
Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
Explain it without notes
Outline: The different data types used in relational databases in the context of a library database being redesigned to reduce redundancy and anomalies.
- The importance of data type consistency
- The potential effects of choosing the wrong data type
Core knowledge and application
Tables for relational databases
Database design moves from real-world entities to schemas, keys, relationships and normalized tables.
Explain it without notes
Construct: Tables for relational databases in the context of a library database being redesigned to reduce redundancy and anomalies.
- The relationship between tables using primary keys, foreign keys, composite keys and concatenated keys
- The importance of well-defined tables in ensuring data integrity
ERD to relational tables
Many-to-many relationship resolved with an associative entity
Name
CourseID (PK/FK)
Grade
Title
Cardinality tells how many instances can relate; modality/optionality indicates whether participation can be zero or is required.
Transfer to a new scenario
- The significance of entity relationship diagrams (ERDs) in crafting organized, efficient database designs tailored for specific applications
- The relationships between different data entities within a database
- The importance of data type consistency
- The potential effects of choosing the wrong data type
- The relationship between tables using primary keys, foreign keys, composite keys and concatenated keys
- The importance of well-defined tables in ensuring data integrity
Paper 1 practice
- Construct: ERDs in the context of a library database being redesigned to reduce redundancy and anomalies.
- Outline: The different data types used in relational databases in the context of a library database being redesigned to reduce redundancy and anomalies.
- Construct: Tables for relational databases in the context of a library database being redesigned to reduce redundancy and anomalies.
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.