📅 2023-04-20 — Session: Explored Functional Dependencies and BCNF Decomposition
🕒 15:10–17:50
🏷️ Labels: Python, BCNF, Functional Dependencies, Database Normalization, Decomposition
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to explore the concepts of functional dependencies, database normalization, and decomposition algorithms, focusing on BCNF and 3NF.
Key Activities:
- Reviewed Python libraries for detecting relationships in CSV files and constructing relational databases.
- Discussed the closure of attributes in functional dependencies and its application in database theory.
- Analyzed customer orders using pandas to project functional dependencies.
- Examined the BCNF decomposition algorithm and its implementation in Python, including a modified version ensuring lossless decomposition.
- Implemented functions to check prime attributes and compute attribute closure.
- Explored the decomposition of tables to remove redundancy and verify 4NF.
Achievements:
- Gained insights into the use of Python tools for schema inference and normalization checks.
- Developed a deeper understanding of functional dependencies and normalization techniques, particularly BCNF and 3NF.
Pending Tasks:
- Further investigation into multi-valued dependencies and their impact on database design.
- Implementation of more comprehensive examples for 4NF verification.