Pluralsightintermediateen

Building ASP.NET Web API OData Services

Learn ASP.NET Web API & OData! Build powerful data services with OData query syntax and message formatting. Master data access for web applications.

4.5(462)
3h 51m
Certificate
Brian Noyes
Brian NoyesInstructor

Course Content

Building ASP.NET Web API OData Services is an intermediate-level Pluralsight course taught by Brian Noyes. It runs 3h 51m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 462 reviews. It is a paid course, first published June 2020.

Unlock the power of OData with ASP.NET Web API! This course provides a comprehensive guide to building robust data services using the open OData protocol. Learn how to expose your data via RESTful HTTP services for efficient querying and updating.

You'll discover how to extend ASP.NET Web API to seamlessly integrate OData query syntax, allowing you to apply it to your preferred data formatting. Go beyond basic integration and build fully compliant OData services with both the query language and standardized data formatting.

Here's what you'll learn:

  • Fundamentals: Grasp the core concepts of ASP.NET Web API, REST architecture, and the OData protocol.
  • OData Query Syntax: Master implementing OData query syntax within your services for powerful data filtering and retrieval.
  • Entity Data Models: Define Entity Data Models to fully support OData navigation syntaxes, enabling complex data relationships.
  • OData Formatting: Add OData formatters to ensure your services adhere to OData standards, creating fully compliant services.
  • CRUD Operations: Implement round-trip CRUD (Create, Read, Update, Delete) operations on resource collections exposed through your Web API.
  • Client Integration: Gain practical experience calling your OData services from both .NET and JavaScript clients.

This course empowers you to build modern, data-driven applications with efficient data access using OData and ASP.NET Web API. Perfect for developers looking to enhance their skills in building scalable and interoperable data solutions.

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