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Azure Cosmos DB for .NET Developers

From Document Thinking to Production Patterns

By: Benjamin Day

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Paperback | 27 May 2026

At a Glance

Format
Paperback

Dimensions(cm)
25.4 x 17.8 x 1.56

Paperback

$102.75

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The only current book on Azure Cosmos DB for .NET developers - written by a 20-year Microsoft MVP who built the open-source library used throughout.

You know relational databases. You've spent years writing entity classes, mapping foreign keys, building adapter layers, and wrestling EF Core into submission. It works. But it costs you something - and you feel it every time a simple domain object gets shredded into five tables just so the database can store it.

Cosmos DB stores your objects as-is. No impedance mismatch. No DTO translation layers. No adapter code. Your domain model goes in, your domain model comes out. But thinking in documents instead of rows requires a genuine mental shift - and the official docs won't get you there.

This book will.

What's inside:

The "trees vs. boxes" mental model that changes how you think about data design
Document modeling with aggregate roots - where to draw the boundaries and why
Hierarchical partition keys, request unit economics, and how not to go broke
The repository pattern, done right, for Cosmos DB
Change Feed event patterns with Azure Functions
Security, managed identity, and the two permission systems nobody explains well
A complete production case study - a cocktail recipe search engine with 5,800 recipes, multi-tenancy, and AI-powered vector search
LINQ vs. raw SQL query mechanics and how to instrument what actually runs
Reporting with Microsoft Fabric when Cosmos DB isn't the right tool
Two reference appendices you'll keep coming back to

All examples use C# and ASP.NET Core. The author's production-tested Benday.CosmosDb NuGet library is used throughout - not as a black box, but as a teaching tool for patterns you can apply to your own code.

Benjamin Day is an independent consultant with nearly 30 years in .NET, Azure, and software architecture. A 20-consecutive-year Microsoft MVP and Pluralsight author, he has helped organizations across industries modernize their data platforms and fix the structural problems that tools alone can't solve.

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