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πŸ’« CTFDMBSL: DATABASE SYSTEMS

Subject & Section: CTFDMBSL - COM231

No. of Units: 3 Units

🧠 Overview

This course provides students with the theoretical knowledge and practical skills in the utilization of databases and database management systems in ICT applications. The logical design, physical design, and implementation of relational databases are all covered in this course.

πŸ“‹ Table of Contents

πŸ›Έ Introduction

Welcome to the Database Systems course! This repository serves as a comprehensive guide for understanding, implementing, and optimizing database management practices. In today's data-driven world, effective database management is crucial for ensuring that valuable data is organized, accessible, and secure. Our goal is to provide you with the tools, methodologies, and best practices necessary to manage databases efficiently and effectively.

πŸ‘· Usage

Explore the Documentation: Begin by reviewing the various sections of this documentation. Each section is designed to provide in-depth knowledge on specific aspects of database systems.

Implement Best Practices: Utilize the best practices outlined in the documentation to enhance your organization's database management processes.

Utilize Tools and Resources: Take advantage of the tools and resources provided in this repository, including templates, checklists, and software recommendations.

Contribute to the Community: We encourage collaboration and contributions from users. If you have insights, tools, or practices that could benefit others, please consider sharing them through pull requests or issues.

Stay Updated: Database management is an evolving field. Keep an eye on the repository for updates, new resources, and community discussions to stay informed about the latest trends and best practices.

πŸš€ Key Features

Comprehensive Framework: A structured approach to database management that covers all essential aspects, including data governance, data quality, and compliance.

Best Practices: Detailed guidelines and best practices for effective database management, helping organizations to optimize their data handling processes.

Tools and Resources: A curated list of tools, templates, and resources that can assist in implementing database management strategies.

Data Governance: Frameworks and policies for establishing data ownership, accountability, and stewardship.

Data Quality Management: Techniques and methodologies for assessing and improving data quality.

Information Lifecycle Management: Strategies for managing data throughout its lifecycle.

Metadata Management: Guidelines for creating and maintaining metadata to enhance data discoverability.

Compliance and Risk Management: Insights into regulatory requirements and risk management strategies.

Case Studies: Real-world examples that illustrate successful database management implementations.

πŸ“ˆ Lesson

Course Outline and Timeframe

Coming Soon

πŸ“ Repository Structure

coming soon...

πŸ† Contributing

coming soon...

πŸ”‘ License

coming soon...

National University of Manila License

The National University of Manila License grants permission to students of the National University of Manila to use, modify, and distribute this project for educational purposes within the scope of their coursework and assignments.

Usage

  • You may use this project as a reference or learning material for your studies at the National University of Manila.
  • You may modify the project to suit your educational needs and requirements.
  • You may share the project with your fellow students or instructors for educational purposes.

Restrictions

  • You may not use this project for commercial purposes.
  • You may not redistribute or publish this project outside the National University of Manila without explicit permission.

Disclaimer

This project is provided "as is" without warranty of any kind, express or implied. The National University of Manila and the project contributors disclaim any liability or responsibility for any direct, indirect, incidental, special, exemplary, or consequential damages arising out of the use or misuse of this project.

πŸ”­ Acknowledgements

✨ Professor

Professor Mrs. Jensen Santillan is a highly respected academic and industry practitioner. Her expertise spans a wide range of areas, including Data Analytics, Data Science, Data Analysis, Data Structures, and Information Management. As a distinguished faculty member at the College of Computing and Information Technology at National University, she shares her knowledge and skills with students.

πŸ“« Changelogs

## [8.0.4] - 2025εΉ΄03月20ζ—₯   
### Added 
- ✨ Create Repository
### Changed
- ✨ Folder set rename
### Fixed 
- ✨ Fix changelogs
## [1.0.1] - 2025εΉ΄03月30ζ—₯  
### Added 
- ✨ Create an Architecture database schema for my last project in DSA
## [1.0.2] - 2025εΉ΄04月11ζ—₯  
### Added 
- ✨ Uploaded Module 1
- ✨ Uploaded Module 2
- ✨ Uploaded Module 3
## [11.0.1] - 2025εΉ΄04月21ζ—₯  
### Added 
- ✨ Add Activity 3
🧊 CTFDMBSL 

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