Design and Implementation of PEI Database Schema

• Day: 2024-12-16
• Time: 09:45 to 11:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: PEI, Database Design, DBML, Normalization, Data Architecture

Description

Session Goal

The primary objective of this session was to design and implement a robust database schema for managing Individualized Study Plans (PEIs), ensuring scalability, normalization, and data consistency.

Key Activities

• Analyzed and proposed a data schema framework to manage PEIs, focusing on necessary tables and their relationships.
• Developed technical documentation for the PEI data schema, detailing requirements, models, specifications, and procedures for implementation.
• Provided a DBML schema for PEI management, including tables for students, tutors, and subjects.
• Addressed duplication issues in DBML relationships and offered solutions with code examples.
• Emphasized the importance of using technical and descriptive names in database systems for better accessibility.
• Created a detailed DDL block for the Estudiantes_Tutores table, with considerations for unique combinations and primary keys.
• Proposed an enhanced version of the Estudiantes_Tutores table to simplify queries and reports while maintaining key references.
• Defined the PEI table in DBML format, outlining key fields and their purposes.
• Discussed data redundancy and normalization principles, weighing the pros and cons of denormalization.
• Provided DDL for PEI_Materias and Materias tables, including necessary indexes.
• Detailed the structure of the id_pei identifier for ensuring uniqueness and traceability.

Achievements

• Successfully designed a comprehensive database schema for PEIs, addressing issues of normalization and scalability.
• Developed clear technical documentation to guide future implementation and management.

Pending Tasks

• Further testing and validation of the proposed schema with real-world data to ensure robustness and efficiency.
• Integration of the schema into existing systems and workflows.

Evidence

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