Databases (Relational DBMS)
Systems for organizing, storing, and retrieving large amounts of structured data using relational models.
Core metadata
- ID: databases_relational_dbms
- Era: Modern
- First known date: 1970 (exact)
- Region: United States and global database research
- Review status: source_checked
- Maturity: N/A
Prerequisites
- Algorithms & Computation Theory (algorithms_computation_theory)
- Database Management Systems (database_management_systems)
- Information Theory (information_theory)
- Mathematics (mathematics)
- Software Engineering (software_engineering)
Dependents
- Big Data Analytics & Computational Statistics (big_data_analytics_computational_statistics)
- Civic Open Data Portals (civic_open_data_portals)
- Customer Relationship Management (customer_relationship_management)
- Data Labeling Platforms (data_labeling_platforms)
- Decision Tree Ensemble Methods (decision_tree_ensemble_methods)
- Digital Identity Systems (digital_identity_systems)
- Domain Name System (domain_name_system)
- E-commerce (e-commerce)
- Network Management / SNMP (network_management_snmp)
- Recommender Systems (recommender_systems)
- Relational Data Warehousing (relational_data_warehousing)
- Relational Query Languages (SQL) (relational_query_languages_sql)
- Search Engines (search_engines)
- Security Information & Event Management (security_information_event_management)
- Social Media (social_media)
- Supervised Learning Pipelines (supervised_learning_pipelines)
- Vector Databases (vector_databases)
Fields
- None.
Node sources
- A relational model of data for large shared data banks (Communications of the ACM, 1970, primary_paper) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 5
- Average edge confidence: 72%
- Prerequisite sources: 5
- expert_inference: 3
- primary_source: 2
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Database Management Systems (database_management_systems) | historical_predecessor | 80% | primary_source | Relational database systems build on earlier database-management systems while replacing tree and network data models with Codd's relational model. |
|
| Software Engineering (software_engineering) | enabling | 68% | expert_inference | Software Engineering provides a capability that enables this technology without being the only possible path. |
|
| Algorithms & Computation Theory (algorithms_computation_theory) | enabling | 68% | expert_inference | Algorithms & Computation Theory provides a capability that enables this technology without being the only possible path. |
|
| Information Theory (information_theory) | enabling | 68% | expert_inference | Information Theory provides a capability that enables this technology without being the only possible path. |
|
| Mathematics (mathematics) | enabling | 78% | primary_source | Codd's relational model uses mathematical relations and predicate-calculus-style reasoning as the data model foundation. |
|
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