Next Session:

Modernizing Relational to MongoDB odernizing Relational to MongoDB

Date: September 24, 2025 - 10:45 AM CET | 09:45 AM BST
In this webinar introduces the simple steps to modernize and innovate traditional relational DB infrastructures to a flexible MongoDB data platform and will cover the following: Benefits and business value provided by an agile and flexible data infrastructure for application development, Step-by-step migration strategy of relational database applications to the MongoDB document model, using an example from the financial sector Introduction to the Smoke Estimator, which allows you to generate a business case for the migration of your applications.

Watch On-Demand:

Domain Driven Design with MongoDB
Learn how Domain-Driven Design (DDD) and MongoDB can transform monolithic systems into modular, agile architectures built for the future. As such: Don’t miss this chance to rethink software delivery!
View Recording I Passcode: 2uM8qV8S

What’s New with MongoDB & AI?
Listen to this deep dive into how MongoDB is powering the next generation of AI-driven applications. In this session, we’ll explore the latest features and capabilities in MongoDB Atlas that help developers build smarter, faster, and more scalable AI solutions—from vector search and GenAI patterns to powerful integrations with tools like LangChain and LlamaIndex.
View Recording I Passcode: GgaPvcf3

Everything about MongoDB, Atlas and the Shift from Relational to NoSQL

This is an essential session exploring the power of MongoDB, the Atlas platform, and why organizations are moving from traditional relational databases to NoSQL. We’ll break down the core differences between relational and document databases, show you how MongoDB Atlas simplifies cloud data management, and walk through real-world use cases where flexibility, scalability, and performance make all the difference.

View Recording I Passcode: Kym4RQJN

MongoDB Best Practices - Indexing

Learn best practices for optimizing query performance with indexing, covering index types, compound, partial, and sparse indexes, plus performance tuning strategies.
View Recording I Passcode: PxVJpUP3

MongoDB, Documents and Schema design - Why and How, and Office Hours
This session provides a high-level overview of NoSQL, discusses differences in data modeling between NoSQL and RDBMS, and breaks down the process of building modern applications using a NoSQL database like MongoDB. The content in this session will include a discussion on the challenges development teams face when moving from RDBMS to NoSQL and an overview of common NoSQL design patterns with examples of how to apply them when modeling a sample workload.

View Recording I Passcode: 4tZidg3X