https://github.com/dianoaf29/little-lemon-database-capstone-project-meta-database-engineer
This capstone project completed as part of the Meta Database Engineer Specialization on Coursera (https://www.coursera.org/professional-certificates/meta-database-engineer)
https://github.com/dianoaf29/little-lemon-database-capstone-project-meta-database-engineer
capstone-project coursera-specialization data-modeling data-visualization database jupyter-notebook meta-database-engineering mysql mysql-database mysql-python-connector mysql-server python sql tableu
Last synced: 3 months ago
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This capstone project completed as part of the Meta Database Engineer Specialization on Coursera (https://www.coursera.org/professional-certificates/meta-database-engineer)
- Host: GitHub
- URL: https://github.com/dianoaf29/little-lemon-database-capstone-project-meta-database-engineer
- Owner: dianoaf29
- Created: 2025-06-28T20:46:22.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-06-29T15:27:28.000Z (3 months ago)
- Last Synced: 2025-06-29T16:35:05.903Z (3 months ago)
- Topics: capstone-project, coursera-specialization, data-modeling, data-visualization, database, jupyter-notebook, meta-database-engineering, mysql, mysql-database, mysql-python-connector, mysql-server, python, sql, tableu
- Homepage:
- Size: 5.31 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Project Objectives
This project aims to achieve the following objectives, focusing on database design, implementation, and interaction:
## 1. Database Infrastructure Establishment
- Configure and initialize the relational database management system.
- Set up and optimize the MySQL server environment.
## 2. Database Design and Implementation
- Design and implement a comprehensive Entity-Relationship (ER) diagram, ensuring data integrity and optimal relational structure.
- Populate database entities with relevant and accurate data.
## 3. Data Access and Efficiency Enhancements
- Create and implement a virtual table, `OrdersView`, to provide a simplified and aggregated view of order information.
- Develop a prepared statement, `GetMaxQuantity()`, designed to efficiently retrieve the maximum quantity, thereby promoting code reusability and reducing redundancy.
- Establish a prepared statement, `GetOrderDetail()`, aimed at minimizing query parsing time for retrieving detailed order information.
## 4. Database Procedural Development
- Implement a stored procedure, `CancelOrder()`, facilitating the deletion of order records based on a provided order ID.
- Create a stored procedure, `CheckBooking()`, to ascertain the booking status of restaurant tables.
- Develop a stored procedure, `AddValidBooking()`, for the validation and processing of new bookings, specifically declining reservations for tables already occupied.
- Establish a procedure, `UpdateBooking()`, to modify existing entries within the Booking table.
- Implement a new procedure, `CancelBooking()`, for the effective cancellation or removal of booking records.
## 5. Data Interactivity and Visualization
- Establish a Python environment for seamless connectivity and interaction with the database.
- Generate appropriate and insightful data visualizations to represent key findings and patterns within the dataset.
# Tools and Technologies
The successful execution of this project will leverage the following software and languages:
- **Tableau software**
- **MySQL / MySQL Workbench**
- **Python / Pandas / MySQL Connector**
- **Jupyter Notebook**
# Acquired Competencies
Through the completion of this project, the following key skills will be acquired:
- Proficiency in creating Entity-Relationship diagrams using MySQL Workbench.
- Competence in utilizing MySQL Workbench for forward engineering databases and tables, and populating data.
- Ability to perform Create, Read, Update, and Delete (CRUD) operations using both SQL and a Python client.
- Skill in accessing databases via the Python connector class.
- Expertise in creating comprehensive dashboards using Tableau software for business Key Performance Indicator (KPI) analysis.