This program focuses on data integrity, optimization, and administration across relational and non-relational database systems.
Deep dive into DDL, DML, and DCL commands using MySQL and PostgreSQL for complex data manipulation.
Learn Entity-Relationship (ER) modeling, Normalization (1NF to BCNF), and architectural planning.
Master indexing, execution plans, and performance tuning to handle millions of records efficiently.
Explore document-based storage with MongoDB, covering collections, CRUD operations, and aggregation.
Hands-on experience with backup, recovery, user authentication, and data security protocols.
Receive a professional certificate after building a fully functional data-driven application backend.
DBMS architecture, ER Diagrams, Constraints, Normalization, and environment setup for SQL Server/MySQL.
Complex Joins, Subqueries, Stored Procedures, Triggers, and practicing ACID properties in transactions.
Introduction to MongoDB, JSON/BSON data structures, and deploying databases on AWS RDS or Azure.
Designing and implementing a high-availability database system for a sample E-commerce or Fintech platform.
Equip yourself with the skills to manage the most valuable asset of any modern organization: Data.
“The deep dive into query optimization changed how I write code. I now understand how to handle large datasets effectively.”
Suresh Kumar
Intern - Data Batch
“Learning NoSQL alongside traditional SQL gave me a complete picture of the current industry needs.”
Priya Dharshini
Intern - Data Batch
Join the next generation of Data Professionals. Register for the 30-day Database Internship today.