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Handling Large Data in .NET Web API: Performance Tips and Techniques
In this article, we explore essential performance tips and techniques for handling large data in .NET Web API. Learn how to optimize API response times, manage memory efficiently, and scale your applications to handle high data volumes. By implementing best practices like pagination, data streaming, compression, and caching, you can improve API performance and ensure seamless data delivery at scale.
When a Web API in .NET needs to handle large-scale data, it must do so in a way that ensures performance, scalability, and efficiency. There are several techniques that a .NET server can implement to manage large datasets while keeping the system responsive and avoiding issues like memory overload or slow response times.
Here are key strategies for providing large-scale data in a .NET Web API:
1. Pagination
How it works: The server provides data in smaller chunks or pages, allowing the client to request only a portion of the dataset at a time. This is especially useful for datasets that are too large to return in a single request.
Implementation: Use query parameters to allow the client to specify the page number and size. The API method should return only the data for the requested page.
