Microsoft Events hosts an advanced Ignite session featuring Mark Brown and Jai Maldonado, demonstrating how to use Cosmos DB within Microsoft Fabric to build AI-enabled, real-time applications at scale.

Real-Time Analytics and AI Applications with Cosmos DB in Microsoft Fabric

Speakers: Mark Brown, Jai Maldonado
Session: BRK228 — Microsoft Ignite 2025

Overview

Discover how Azure Cosmos DB and Microsoft Fabric simplify the creation of AI-enabled, real-time applications. This session provides a deep dive into:

Scaling out architectures for low-latency performance
Integrating across the Microsoft ecosystem, including OpenAI-powered scenarios
Processing customer data for real-time intelligence
Leveraging Apache Spark for machine learning and recommendation engines
Using vector search in Cosmos DB for high-performance personalization
Employing collaborative filtering algorithms to enhance recommendations
Managing blue-green deployments for safe application updates
Streamlining data access without additional middleware
Building and shipping real-time solutions using Notebooks and built-in user functions

Key Topics Covered

1. Scale-Out Architecture and Performance

How Cosmos DB supports low-latency, scale-out workloads
Architecture design to handle large-scale, real-time data

2. Integration and Ecosystem

Real-world integration scenarios with Microsoft Fabric
Case study: Incorporating OpenAI models for enhanced analytics

3. Real-Time Data Processing

Using Real-Time Intelligence (RTI) to process and analyze customer data as it arrives
Demonstration: Real-time analytics without manual ETL using Fabric Zero ETL features

4. Advanced Analytics and Machine Learning

Implementing collaborative filtering for personalized recommendations
Training ML-based recommendation engines with Apache Spark
Seamless workflow using Fabric Notebooks for experimentation and testing

5. Vector Search and Personalization

Combining vector search capabilities in Cosmos DB to deliver high-performance, personalized user experiences

6. Deployment and Data Functions

Blue-green deployment strategies for robust AI apps
Utilizing user-defined functions to customize data transformations

7. Interactive Reporting and Pricing Analysis

Creating interactive reports to visualize correlations between pricing and customer reviews
Strategies for dynamic price analysis and customer engagement

Resources

Summary

This session is ideal for data engineers, architects, and developers seeking to harness Microsoft Fabric and Cosmos DB for the next generation of AI-driven, real-time applications, enabling scalable analytics, personalization, and robust deployment architectures.