Building Modern Data Applications with MongoDB and NET Design smarter, scalable data systems with search and vector workflows
Category: eBooks
- views: 79
- date: 31 August 2026
- posted by: BeMyLove
Building Modern Data Applications with MongoDB and NET Design smarter, scalable data systems with search and vector workflows | 12.93 MB
Title: Building Modern Data Applications with MongoDB and NET Design smarter, scalable data systems with search and vector workflows
Language: English | 300 Pages | ISBN: 1807786137
Description:
Build smarter .NET applications by transforming complex data and delivering relevant search experiences with MongoDB aggregation, Search, and Vector Search.
Key Features
Transform complex data with MongoDB aggregation pipelines
Build relevant search functionality in .NET with MongoDB Search
Add semantic search to C# applications with MongoDB Vector Search
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Modern .NET applications often need more than basic data retrieval: they need to reshape complex data and help users find the right information. Building Modern Data Applications with MongoDB and .NET shows you how to solve these problems with MongoDB aggregation and search features in C#.
You'll start by building aggregation pipelines and integrating them into an application. Next, you'll create more relevant search functionality with MongoDB Search before moving to semantic search with MongoDB Vector Search.
Along the way, you'll learn best practices for each area, helping you make sound design choices as application requirements grow. Written by Luce Carter, Senior Developer Advocate at MongoDB and Microsoft MVP for Developer Technologies, the book combines deep product knowledge with a developer-focused approach to help you move confidently from advanced querying to search and vector search in .NET.
What you will learn
Build aggregation pipelines to reshape complex application data
Integrate aggregation pipelines into C#/.NET applications
Improve search relevance with MongoDB Search
Add full-text search to .NET applications
Implement semantic search with MongoDB Vector Search
Integrate vector search into C# applications
Apply best practices to aggregation and search
Who this book is for
This book is for C#/.NET developers and backend engineers who use MongoDB and want to move beyond basic queries. It suits readers who need to transform complex data, improve application search, or add semantic search. A working knowledge of C#/.NET and basic familiarity with MongoDB is recommended.
DOWNLOAD:
https://rapidgator.net/file/44df649c775c93f2e6991baaf9b81f68/Building_Modern_Data_Applications_with_MongoDB_and_.NET_Design_smarter_scalable_data_systems_with_search_and_vector_workflows.rar
https://nitroflare.com/view/73D6192E6E23E38/Building_Modern_Data_Applications_with_MongoDB_and_.NET_Design_smarter_scalable_data_systems_with_search_and_vector_workflows.rar
Build smarter .NET applications by transforming complex data and delivering relevant search experiences with MongoDB aggregation, Search, and Vector Search.
Key Features
Transform complex data with MongoDB aggregation pipelines
Build relevant search functionality in .NET with MongoDB Search
Add semantic search to C# applications with MongoDB Vector Search
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Modern .NET applications often need more than basic data retrieval: they need to reshape complex data and help users find the right information. Building Modern Data Applications with MongoDB and .NET shows you how to solve these problems with MongoDB aggregation and search features in C#.
You'll start by building aggregation pipelines and integrating them into an application. Next, you'll create more relevant search functionality with MongoDB Search before moving to semantic search with MongoDB Vector Search.
Along the way, you'll learn best practices for each area, helping you make sound design choices as application requirements grow. Written by Luce Carter, Senior Developer Advocate at MongoDB and Microsoft MVP for Developer Technologies, the book combines deep product knowledge with a developer-focused approach to help you move confidently from advanced querying to search and vector search in .NET.
What you will learn
Build aggregation pipelines to reshape complex application data
Integrate aggregation pipelines into C#/.NET applications
Improve search relevance with MongoDB Search
Add full-text search to .NET applications
Implement semantic search with MongoDB Vector Search
Integrate vector search into C# applications
Apply best practices to aggregation and search
Who this book is for
This book is for C#/.NET developers and backend engineers who use MongoDB and want to move beyond basic queries. It suits readers who need to transform complex data, improve application search, or add semantic search. A working knowledge of C#/.NET and basic familiarity with MongoDB is recommended.
DOWNLOAD:
https://rapidgator.net/file/44df649c775c93f2e6991baaf9b81f68/Building_Modern_Data_Applications_with_MongoDB_and_.NET_Design_smarter_scalable_data_systems_with_search_and_vector_workflows.rar
https://nitroflare.com/view/73D6192E6E23E38/Building_Modern_Data_Applications_with_MongoDB_and_.NET_Design_smarter_scalable_data_systems_with_search_and_vector_workflows.rar
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