RDBMS,Normalization,SQL
This Database Management Systems (DBMS) course offers a thorough introduction to the principles, architecture, and practical aspects of database systems. It focuses on various data models, with special emphasis on the relational model and the use of SQL for querying and managing data. Key areas of study include normalization, database design, transactions, concurrency control, and data recovery. Students will engage in hands-on projects using contemporary DBMS tools. The course also delves into indexing methods, storage management, and database security. The course emphasizes the use of Structured Query Language (SQL) for creating, querying, and managing databases. Core topics include database normalization, indexing, storage mechanisms, and query optimization to ensure data integrity, efficiency, and performance. Students will also explore advanced concepts such as transaction management, concurrency control, and database recovery techniques, which are essential for maintaining consistency and reliability in multi-user environments.
What you’ll learn
- Gained knowledge of DBMS architecture and query languages..
- Understanding of relational languages and applied it to database design..
- Designed and developed the database structure using SQL..
- Utilized normalization techniques to identify and remove data anomalies..
- Understood and visualized storage structures , handling concurrency, failure, and recovery concepts..
Course Content
- Introduction –> 7 lectures • 1hr 27min.
- Section 2 –> 5 lectures • 43min.
- Section 3 –> 12 lectures • 1hr 45min.
- Section 4 –> 8 lectures • 46min.
Requirements
This Database Management Systems (DBMS) course offers a thorough introduction to the principles, architecture, and practical aspects of database systems. It focuses on various data models, with special emphasis on the relational model and the use of SQL for querying and managing data. Key areas of study include normalization, database design, transactions, concurrency control, and data recovery. Students will engage in hands-on projects using contemporary DBMS tools. The course also delves into indexing methods, storage management, and database security. The course emphasizes the use of Structured Query Language (SQL) for creating, querying, and managing databases. Core topics include database normalization, indexing, storage mechanisms, and query optimization to ensure data integrity, efficiency, and performance. Students will also explore advanced concepts such as transaction management, concurrency control, and database recovery techniques, which are essential for maintaining consistency and reliability in multi-user environments.
Practical sessions and hands-on projects using popular DBMS software will help reinforce theoretical concepts and develop real-world skills. The course also touches on current trends in database systems, including NoSQL and distributed databases, providing a broader understanding of modern data management challenges.
By the end of the course, students will be equipped to design, implement, and maintain efficient and secure database systems, preparing them for roles in software development, data analysis, and information systems management. Upon completion, learners will be equipped to efficiently design, implement, and maintain reliable, scalable, and secure database solutions.