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Data is at the heart of every modern application—but choosing how to store, manage, and scale it can make or break a system.

In this tech talk, we’ll dive into the ongoing debate between SQL (relational databases) and NoSQL (non-relational databases), with a special spotlight on MongoDB, the most widely adopted NoSQL database powering modern, data-heavy applications.

We’ll break down the strengths and trade-offs of both worlds:

  • SQL Databases – structured, relational, and reliable for complex queries and transactions.
  • MongoDB (NoSQL) – flexible, document-oriented, and built for scalability in applications that handle unstructured or rapidly changing data.

You’ll learn about:

  • Key differences in data modeling, querying, and architecture
  • When to choose SQL vs. MongoDB for your projects
  • Real-world examples of how companies use MongoDB to scale applications like e-commerce, gaming, and social platforms
  • Why many modern systems combine SQL and MongoDB to get the best of both worlds

By the end of this session, you’ll have a clear framework for deciding which database technology fits your application needs—and why MongoDB has become the go-to choice for developers building the next generation of apps.

Database Professionals
MongoDB
Software Development
Computer Science
Database Applications

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