Database Modeling and Design

"Database Modeling and Design" is a comprehensive course designed to equip learners with the fundamental principles and advanced techniques necessary to design efficient and scalable databases. With a focus on both relational database management systems (RDBMS) and NoSQL databases, participants will explore the diverse landscape of database technologies and learn how to select the most appropriate solution for different application requirements. Through a combination of theoretical lectures and hands-on exercises, students will gain a deep understanding of data modeling concepts such as entity-relationship modeling, normalization, and schema design, allowing them to create well-structured databases that meet the needs of modern applications.

In the RDBMS module, participants will delve into the principles of relational database design, exploring topics such as table structures, primary and foreign keys, and database normalization. By mastering the intricacies of SQL (Structured Query Language), students will learn how to efficiently retrieve, manipulate, and manage data stored in relational databases. Additionally, they will explore advanced RDBMS features such as transactions, indexing, and query optimization, enabling them to design high-performance databases that support complex business requirements.

In the NoSQL module, learners will discover the principles and practices of non-relational database design, exploring various NoSQL database types such as document stores, key-value stores, column-family stores, and graph databases. Through practical examples and case studies, participants will learn how to model data in NoSQL databases, leverage distributed architectures for scalability and fault tolerance, and navigate the trade-offs between consistency, availability, and partition tolerance. By the end of the course, students will emerge with the expertise to design, implement, and optimize databases using both RDBMS and NoSQL technologies, empowering them to tackle the diverse challenges of modern data management.

Investment Cost

The course is offered at £300.00