SQL & NoSQL Databases – Master Data Management

Learn to design, query, and optimize both relational (SQL) and non-relational (NoSQL) databases. From MySQL and PostgreSQL to MongoDB and Cassandra, this course equips you with the skills to store, manage, and retrieve data efficiently for modern applications.

This course is perfect for developers, data analysts, and backend engineers looking to understand database technologies deeply. You’ll explore relational models, master SQL queries, and dive into the flexible world of NoSQL databases to handle unstructured and large-scale data.

What You'll Learn

Database Fundamentals

Understand core concepts of data storage, schemas, and relationships.

SQL Mastery

Write powerful queries with SELECT, JOIN, GROUP BY, and subqueries.

Database Optimization

Use indexing, normalization, and query optimization techniques.

NoSQL Databases

Work with MongoDB, Cassandra, and Redis for unstructured data management.

Data Modeling

Design schemas for both relational and document-based databases.

Backup & Security

Implement backups, encryption, and access control for databases.

Big Data Integration

Integrate databases with big data tools for large-scale analytics.

SQL Expertise

Master MySQL, PostgreSQL, and SQL Server for relational data management.

NoSQL Skills

Work with MongoDB, Cassandra, and Redis for high-performance storage.

Data Optimization

Improve query performance and scalability with indexing and caching.

Data Mastery

Ready to Manage Data Like a Pro?

Gain the skills to design, query, and scale databases for modern applications.