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Database Optimization and Normalization for Inventory Management

A comprehensive database transformation project focused on optimizing inventory management through normalization and SQL query optimization.

Technologies Used

SQL (SQLite)
Database Design
3NF

Key Features

  • • Database Normalization
  • • Query Optimization
  • • Data Integrity

Impact

  • • Reduced Redundancy
  • • Improved Performance
  • • Enhanced Data Quality

Project Overview

I worked on a data science project focused on database transformation and optimization for an online trading store. The goal was to improve inventory management efficiency by normalizing a denormalized database while maintaining data integrity and optimizing SQL queries for better performance.

Key Objectives

  • • Normalize the database to Third Normal Form (3NF) to eliminate redundancy and improve data consistency
  • • Optimize SQL queries for efficient data retrieval and transaction management
  • • Enhance data integrity by ensuring proper relationships between entities

Implementation Details

1. Database Normalization

  • • Identified and resolved data anomalies in an unstructured database
  • • Structured data into multiple relational tables by eliminating redundant information
  • • Applied primary and foreign key constraints to enforce referential integrity

2. SQL Query Optimization

  • • Designed and executed complex SQL queries to facilitate efficient inventory tracking
  • • Implemented indexes to speed up query performance for large datasets
  • • Optimized JOIN operations for seamless reporting and analysis

3. Data Integrity & Management

  • • Standardized data to ensure accuracy and consistency across tables
  • • Handled NULL values and implemented constraints to prevent inconsistencies
  • • Developed custom SQL scripts for streamlined data extraction and reporting

Outcome & Impact

The project resulted in a highly efficient and structured database, reducing redundancy, improving data retrieval times, and ensuring that inventory data was accurately managed. This transformation provided a solid foundation for business intelligence and decision-making.

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