DBMS and SQL (Data Optimization)
Overview This program covers the core principles of relational database systems (DBMS), including database design, normalization, and optimization. Learners will […]
Course Description
Overview
This program covers the core principles of relational database systems (DBMS), including database design, normalization, and optimization. Learners will write efficient SQL queries, implement indexing, partitioning, and data modeling strategies, and use EXPLAIN plans and query analyzers to optimize performance. The course also addresses transaction management, concurrency control, and working with real-world datasets effectively.
Duration & Eligibility
- Duration: 45 hrs (2 hrs/day)
- Eligibility: Diploma / Graduate Students / Working Professional
Learning Outcomes
- Understand core principles of relational database systems (DBMS).
- Design normalized and optimized database schemas.
- Write efficient SQL queries using best practices.
- Implement indexing, partitioning, and data modeling strategies.
- Use EXPLAIN plans and query analyzers to optimize performance.
- Apply normalization and denormalization intelligently.
- Manage transactions and concurrency effectively.
- Work with real-world datasets in a performant manner.
Career Opportunities
- Database Developer
- Data Quality Analyst
- ETL Engineer
- Analytics Engineer
- Data Architect
Your Instructors
At MSDC, our instructors are the heartbeat of our programs. They embody a rich blend of academic excellence and real-world expertise, ensuring an immersive and practical learning experience for our students. Each instructor is meticulously selected, not only for their depth of knowledge but also for their ability to inspire and guide.
