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A practical guide to building production .NET applications with Azure Cosmos DB. Written for experienced C# developers who know relational databases well and want to understand when and how to use a document database instead. The book introduces a \"trees vs. boxes\" mental model that reframes how developers think about data modeling, then walks through the complete journey from first SDK call to a deployed, multi-tenant production application - a cocktail recipe search engine with 5,800 recipes, AI-powered vector search, and a curated ingredient taxonomy. Topics include document design using aggregate roots, hierarchical partition keys, the repository pattern for Cosmos DB, request unit economics, Change Feed event patterns, Azure RBAC security and managed identity, LINQ vs. raw SQL query mechanics, vector search and embeddings, and reporting with Microsoft Fabric. The book includes two reference appendices covering common query patterns and operational tasks. All code examples use C# and ASP.NET Core. The author's open-source Benday.CosmosDb NuGet library is used throughout to demonstrate production-tested patterns.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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