How alexander2523/base-de-datos works
1. Repository purpose
- This is an educational database-design repository, not an application runtime. Its “architecture” is a curriculum pipeline for moving from requirements to ER modeling, relational modeling, normalization, constraints, and finally SQL implementation in MySQL and SQL Server.
2. Overall flow of artifacts
- The repository follows a clear progression:
- Requirements / analysis
- E-R model
- Relational model
- Data dictionary / normalization / constraints
- SQL DDL (schema creation)
- SQL DML (queries and data manipulation)
- That flow is the main architectural boundary to capture in a diagram: conceptual design feeds logical design, which feeds implementation scripts.
3. Top-level content groups
- 01-PruebasSGBD contains database testing material: a SQL query file and supporting notes/images.
- 02-Modelado-basededatos contains conceptual and relational design artifacts.
- 03-SQL-LDD contains schema-definition scripts.
- 04-SQL-LMD contains query scripts.
- ProyectoFinal is a scaffold for a final project, currently mostly empty placeholders.
4. Conceptual modeling subsystem
- 02-Modelado-basededatos/DiagramasE-R stores the conceptual ER diagrams as .dia files.
- The diagrams cover multiple example domains: Biblioteca, Compañía, Hospital, RentaVehículo, Odontólogo, Proyecto, and Universidad/Cursos.
- These files represent the source-of-truth for entity/relationship structure before implementation.
5. Relational modeling subsystem
- 02-Modelado-basededatos/Modelo Realcional contains relational versions of those models, again as .dia diagrams.
- There is also scrip-restricciones.sql, which indicates the transition from structure to integrity rules.
- This is the logical-design boundary: entities and relationships are mapped to tables, keys, and constraints.
6. Dictionary and datatype documentation
- 02-Modelado-basededatos/DicionarioDeDatos centralizes reference documentation.
- It includes per-domain dictionaries such as DiccionarioBiblioteca.md, DiccionarioCompañia.md, DiccionarioCursos.md, DiccionarioHospital.md, DiccionarioOdontologo.md, and DiccionarioRentasVehiculos.md.
- It also includes datatype references for SQL Server and MySQL, which supports the implementation phase by mapping logical attributes to engine-specific types.
7. SQL DDL implementation layer
- 03-SQL-LDD is the schema-creation layer.
- It is split by DBMS:
- 01-script-mysql
- 02-script-sqlserver
- The scripts are organized by domain, showing that each model can be implemented separately in each engine.
- This layer is where tables, keys, relations, and structural constraints are materialized in SQL.
8. MySQL vs SQL Server boundary
- The repository explicitly maintains engine-specific implementations, which is important architecturally.
- MySQL and SQL Server are not interchangeable here; separate scripts and datatype guidance reflect differences in syntax, constraint handling, and supported features.
- A diagram should show two parallel implementation tracks fed by the same modeling assets.
9. SQL Server script coverage
- Under 03-SQL-LDD/02-script-sqlserver, there are scripts for:
- Introduction
- Curso
- Hospital
- RentaVehiculo
- Biblioteca
- Compañía
- Alter/Drop operations
- Double relationships
- Additional instruction examples
- This suggests SQL Server is used not only for creation scripts but also for schema evolution and relationship edge cases.
10. MySQL script coverage
- Under 03-SQL-LDD/01-script-mysql, there are scripts for:
- Biblioteca
- RentaVehiculo
- Hospital
- Compañía
- Universidad
- The structure mirrors the modeling domains, reinforcing the idea that each case study becomes a standalone database implementation exercise.
11. SQL LMD / query layer
- 04-SQL-LMD contains query examples for data manipulation and retrieval.
- There are both generic/simple queries and a SQL Server-specific set with simple and advanced queries.
- This layer depends on the schemas produced in LDD and represents the consumer side of the database: querying, filtering, joining, and analysis.
12. Exercise and testing materials
- 01-PruebasSGBD/01-query-pruebassbgd.sql appears to hold test queries used for validating or demonstrating DB behavior.
- The accompanying markdown and images suggest this folder is used for practice results or lab documentation, not production code.
13. Project final scaffold
- ProyectoFinal has directories for DiccionarioDeDatos, ModeloE_R, and ModeloRelacional.
- These are placeholders for a full end-to-end database design deliverable, indicating the repo is structured to support independent project work using the same methodology.
14. What an architecture diagram should emphasize
- The correct diagram is a document-and-script pipeline, not a service diagram.
- Main nodes: requirements/docs → ER diagrams → relational diagrams → dictionaries/constraints → DBMS-specific DDL → DBMS-specific queries/tests.
- Main external technologies: MySQL, Microsoft SQL Server, and Dia for diagramming.
Main entry points: Modelo Realcional Relational model · 04-SQL-LMD Query layer · DiagramasE-R ER diagrams · DicionarioDeDatos Data dictionary
Components 17
Pruebas
Query practice and validation materials.
- Pruebas SGBD · Practice queries and lab notes for database behavior validation.
01-PruebasSGBD/01-query-pruebassbgd.sql
Modelado
Conceptual and relational design assets.
- ER diagrams · Source-of-truth conceptual entity-relationship diagrams across several domains.
02-Modelado-basededatos/DiagramasE-R - Relational model · Relational translations of the conceptual diagrams, with tables, keys, and relationships.
02-Modelado-basededatos/Modelo Realcional - Data dictionary · Domain dictionaries and datatype references used to move from logical design to implementation.
02-Modelado-basededatos/DicionarioDeDatos - Restrictions script · SQL constraints and restriction rules that complement the relational design.
02-Modelado-basededatos/Modelo Realcional/scrip-restricciones.sql - Requirements flow · The repository-wide progression from analysis and conceptual design to implementation.
README.md
DDL
Schema definition scripts by database engine.
- MySQL DDL · MySQL schema creation scripts organized by case study domain.
03-SQL-LDD/01-script-mysql - SQL Server DDL · SQL Server schema creation, evolution, and relationship scripts.
03-SQL-LDD/02-script-sqlserver
LMD
Query and data manipulation scripts.
- Query layer · SQL query examples for retrieval, joins, filtering, and analysis.
04-SQL-LMD - SQL Server queries · SQL Server-specific simple and advanced query examples.
04-SQL-LMD/01-Script-SqlServer - MySQL queries · MySQL query examples and supporting scripts.
04-SQL-LMD/02-Script-Mysql
Proyecto final
Scaffold for an end-to-end database design project.
- Final scaffold · Placeholder structure for a full database-design deliverable.
ProyectoFinal
Tecnologías
External tools and target database engines.
- Dia models · The .dia files used to author and maintain ER and relational diagrams.
- MySQL types · MySQL-oriented datatype mapping guidance for implementation scripts.
02-Modelado-basededatos/DicionarioDeDatos/tipos_datos_sqlserver_mysql.md - SQL Server types · SQL Server-oriented datatype mapping guidance for implementation scripts.
02-Modelado-basededatos/DicionarioDeDatos/tiposdedatossqlserver.md - MySQL · One implementation track for schema and query scripts.
- SQL Server · The parallel implementation track with SQL Server-specific scripts and examples.
Connections 22
- Requirements flow → ER diagrams: feeds · Requirements and analysis are represented first as ER models.
- ER diagrams → Relational model: maps to · Conceptual entities and relationships are transformed into relational structure.
- Relational model → Data dictionary: documents · Relational attributes are captured in dictionaries and datatype references.
- Relational model → Restrictions script: constrains · Logical design is refined with integrity and restriction rules.
- ER diagrams → Dia models: authored in · The diagrams are stored as Dia files.
- Relational model → Dia models: authored in · Relational diagrams are also maintained in Dia.
- Data dictionary → MySQL types: guides · Datatype references support MySQL implementation.
- Data dictionary → SQL Server types: guides · Datatype references support SQL Server implementation.
- Relational model → MySQL DDL: implements · Relational models are materialized as MySQL DDL scripts.
- Relational model → SQL Server DDL: implements · Relational models are materialized as SQL Server DDL scripts.
- MySQL types → MySQL DDL: adapts · MySQL datatype guidance feeds MySQL schema creation.
- SQL Server types → SQL Server DDL: adapts · SQL Server datatype guidance feeds SQL Server schema creation.
- MySQL DDL → MySQL: targets · These scripts create schemas in MySQL.
- SQL Server DDL → SQL Server: targets · These scripts create schemas in SQL Server.
- MySQL DDL → Query layer: supports · Implemented schemas are queried from the LMD layer.
- SQL Server DDL → Query layer: supports · Implemented schemas are queried from the LMD layer.
- Query layer → SQL Server queries: specializes · One branch of query examples is SQL Server-specific.
- Query layer → MySQL queries: specializes · Another branch supports MySQL-oriented querying.
- Pruebas SGBD → Query layer: validates · Practice queries and lab notes sit alongside the query layer.
- Final scaffold → ER diagrams: reuses · The final-project scaffold mirrors the same modeling workflow.
- Final scaffold → Relational model: reuses · The final-project scaffold includes a relational-design slot.
- Final scaffold → Data dictionary: reuses · The final-project scaffold includes a data-dictionary slot.