Azure Cosmos DB for PostgreSQL combines the power of distributed PostgreSQL with Citus to deliver high-performance, scalable data solutions for cloud-native applications. In this session, we’ll explore how Cosmos DB for PostgreSQL can be leveraged to solve large-scale data challenges, including real-time analytics and time series data processing.

We’ll cover essential concepts such as using the Citus extension for horizontal scaling, handling time series data efficiently, and applying roll-ups for aggregation. Additionally, you’ll learn how to integrate with .NET and Entity Framework by building custom extensions that optimize your development workflow.

For the demo, we’ll dive into astronomic datasets to demonstrate real-world use cases—tracking stars, planets, and other celestial data—showcasing powerful scenarios in data management and analytics.