Tag: NetCore

.Net Core, C#, Text Analysis

Full Text Search With ElasticSearch And .NetCore

Photo by Tobias Aeppli

In the ever-expanding realm of contemporary systems, where data storage is more abundant and cost-effective, our data repositories grow rapidly. From basic text files to content-rich multimedia documents, we accumulate a diverse range of data. The challenge arises when the need to search for specific data, words, or phrases—whether through a direct search or related terms—calls for thoughtful consideration and the right tools.

Among the tools available today, Elasticsearch stands out as a mature search engine, residing at the core of the Elastic Stack. With a robust foundation and widespread adoption across various fields, Elasticsearch has proven itself as a reliable and versatile solution. This blog post kicks off by explaining the fundamentals and concepts of Elasticsearch, shedding light on its workings. Later, it offers a practical, easily understandable implementation guide that addresses various aspects of text search and analytics. We’ll delve into working with Elasticsearch in .Net Core 8, using the new Elasticsearch C# client (version 8.0+), covering indexing, searching, and ultimately aggregating data.

Whether you’re new to navigating the world of Elasticsearch or a seasoned explorer aiming to deepen your understanding, I hope this two-part guide help get you up to speed easily in working in ElasticSearch for full text search and analysis in .net core.

.Net Core, C#

Efficient Caching Made Easy with Redis in .NET Core

In the world of web applications, speed is a critical factor. Caching, a fundamental concept, is pivotal in achieving faster response times and efficient resource utilization. It involves storing frequently accessed data in a cache, which significantly improves user experiences.

Redis, or Remote Dictionary Server, is a versatile tool for optimizing .NET Core applications. It functions as a high-speed, open-source, in-memory data structure store primarily designed as a key-value store. However, its utility extends to serving as a cache, database, message broker, and streaming engine. Redis excels in speed due to its in-memory operation, making it ideal for scenarios where low-latency responses are essential. It empowers developers to choose the most suitable data structure for their specific needs, whether it’s simple key-value pairs, complex data relationships, or real-time streaming data. Redis is the solution to enhance your .NET Core applications’ efficiency and responsiveness, providing a smoother user experience while efficiently managing high user loads.