Relational Database Design: Principles and Practice
Craft optimized relational database architectures, incorporating industry best practices to ensure seamless scalability and robust application performance.
Craft optimized relational database architectures, incorporating industry best practices to ensure seamless scalability and robust application performance.
Dive into the world of relational database design with this comprehensive course. Learn to create well-structured, normalized, and efficient databases for small to large-scale enterprises. This course covers entity-relationship modeling, normalization techniques, and advanced design concepts. You'll develop skills in creating ERDs, applying functional dependencies, and implementing various normal forms. Perfect for aspiring database administrators, data analysts, and software developers, this course provides a solid foundation in database design principles. By the end, you'll be able to design robust databases that ensure data integrity, reduce redundancy, and optimize performance for any organization.
Instructors:
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What you'll learn
Create Entity-Relationship diagrams using UML notation
Translate ER diagrams into logical schemas (relation schemas)
Apply functional dependency theory in database design
Identify candidate keys and derive canonical covers of functional dependencies
Implement normalization techniques up to 4NF
Design efficient and scalable relational databases
Skills you'll gain
This course includes:
4.72 Hours PreRecorded video
18 quizzes, 10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course on Relational Database Design provides students with in-depth knowledge of creating efficient and well-structured databases. The curriculum covers three main areas: Entity-Relationship (E-R) modeling, Functional Dependencies, and Database Normalization. Students begin by learning the fundamentals of E-R modeling, including creating E-R diagrams and translating them into relation schemas. The course then delves into the theory of functional dependencies, teaching students how to identify and apply these concepts to ensure data integrity. The final section focuses on database normalization, covering various normal forms and their application in real-world scenarios. Throughout the course, students engage in practical exercises and assignments, applying their knowledge to design databases for various business contexts. By the end of the course, learners will have the skills to design robust, scalable, and efficient relational databases suitable for diverse applications.
Design Overview
Module 1 · 19 Hours to complete
Functional Dependency (FD)
Module 2 · 13 Hours to complete
Database Normalization
Module 3 · 11 Hours to complete
Summative Course Assessment
Module 4 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Relational Databases at Illinois Tech
Gerald Balekaki is an Assistant Teaching Professor at Illinois Tech, where he teaches courses in relational databases. His courses include "Introduction to Relational Databases," "Relational Database Design," and "Relational Database Implementation and Applications." In these courses, students learn fundamental concepts of relational database systems, including database design, SQL querying, and practical applications of database management. The curriculum emphasizes hands-on experience with database implementation, indexing, and the development of database-driven applications, preparing students for careers in data management and software development
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