Future-Ready Data Foundation with MongoDB
Principles for designing scalable and AI-ready data architectures
Created by Sarah Evans
Explore how to design scalable, AI-ready data architectures using MongoDB. Learn to unify your data strategies, reduce complexity, and support advanced AI workloads with practical architectural insights. Build a strong foundation for modern, intelligent applications.
Packt | Aug 2026 | 98 min
What You Will Learn
You will work through real-world examples and case studies to understand key design choices and trade-offs. Each section introduces architectural patterns and platform considerations, helping you make informed decisions for building and optimizing AI-ready data foundations. The focus is on practical strategies that simplify complex enterprise environments.
Key Features
- Learn to identify and meet data requirements for AI-powered applications
- Compare retrieval strategies to ensure accurate and reliable AI outcomes
- Apply proven architectural principles for scalable, unified data platforms
Target Audience
Ideal for technology leaders, data architects, engineers, and AI practitioners aiming to modernize their data infrastructure. If you are responsible for designing, evaluating, or supporting scalable and secure AI systems, you will gain the architectural knowledge needed to build and maintain robust data platforms for advanced AI solutions.
