Data Engineering
Our Data Engineering DB track is designed to help learners gain strong expertise in database architecture, SQL programming, and advanced data modeling. This program covers a wide range of relational, NoSQL, graph, and cloud-ready databases used across enterprise environments.
Whether you’re starting your career or upgrading your technical capabilities, this track equips you with the knowledge and hands-on skills required to design, optimize, and manage high-performance databases.
What You Will Learn
A comprehensive blend of theory and practical sessions covering:
Modern & Traditional Databases
Understand relational models, NoSQL structures, graph databases, and distributed storage systems.
SQL Programming & PL/SQL
Master SQL queries, procedures, triggers, optimization techniques, and database performance tuning.
Advanced Data Modelling
Design scalable data models for real-world enterprise applications, analytics, and high-volume systems.
Database Administration
Learn indexing, replication, backups, monitoring, high availability, and security configurations.
Courses Offered
- MongoDB
- NoSQL
- GraphQL & Redis
- PostgreSQL
- Neo4j Graph DB
- CassandraDB
- Microsoft SQL Server
- Oracle & MySQL
- AI Database & Advanced SQL
- SQL, PL/SQL & Data Modelling
Who Can Study
This track is ideal for:
- IT Graduates & Freshers building a strong foundation in database systems
- Software Developers expanding into backend or full-stack database expertise
- Data Analysts improving data handling, optimization, and modelling skills
- Professionals transitioning into database or data engineering roles