https://github.com/cihatsolak/net7-elastic-search

An Elasticsearch-powered project demonstrating the capabilities of this powerful search and analytics engine. Efficiently store, index, and search vast amounts of data in real-time. A practical showcase for leveraging Elasticsearch in your applications.
https://github.com/cihatsolak/net7-elastic-search

elastic elastic-stack elasticsearch full-text-search kibana logstash nosql-database search-engine

Last synced: 25 days ago
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An Elasticsearch-powered project demonstrating the capabilities of this powerful search and analytics engine. Efficiently store, index, and search vast amounts of data in real-time. A practical showcase for leveraging Elasticsearch in your applications.

• Host: GitHub
• URL: https://github.com/cihatsolak/net7-elastic-search
• Owner: cihatsolak
• License: mit
• Created: 2023-07-13T15:37:42.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-12-26T13:47:59.000Z (about 1 year ago)
• Last Synced: 2024-12-23T01:50:03.353Z (28 days ago)
• Topics: elastic, elastic-stack, elasticsearch, full-text-search, kibana, logstash, nosql-database, search-engine
• Language: C#
• Homepage:
• Size: 902 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Net7 Elasticsearch

![Elasticsearch](https://upload.wikimedia.org/wikipedia/commons/thumb/f/f4/Elasticsearch_logo.svg/2560px-Elasticsearch_logo.svg.png)

Welcome to the Net7 Elasticsearch repository! This course is designed to teach you the ins and outs of Elasticsearch, an open-source distributed search and analytics engine. With Elasticsearch, you can store, search, analyze, and explore large volumes of data in real-time.

## Overview

Elasticsearch is a powerful tool that can revolutionize how you handle data, and this course will provide you with hands-on experience to master it. Whether you are a software developer, data analyst, or IT professional, this course is suitable for anyone looking to enhance their skills in data indexing and search capabilities.

## Content

The course covers the following topics:

1. What is Elasticsearch?

   - Understanding Elasticsearch and its key features

   - Exploring various use cases and advantages of Elasticsearch

   - Learning important terminology and concepts related to Elasticsearch

2. Installation and Basic Configuration

   - Step-by-step guide on how to install and configure Elasticsearch

   - Explanation of Elasticsearch configuration files and settings

   - Setting up Elasticsearch clusters and managing nodes effectively

3. Data Indexing and Searching

   - In-depth look at how to index data into Elasticsearch

   - Performing document addition, update, and deletion operations

   - Executing powerful Elasticsearch queries and processing search results

4. Query Structure and Types

   - Understanding the structure of Elasticsearch queries

   - Working with fundamental query types, including matching, filtering, and sorting

   - Learning about query parameters and processing query results

5. Text Analysis and Searching

   - Mastering the text analysis chain and its components

   - Implementing strategies for effective text searching and matching

   - Exploring Elasticsearch Aggregations and aggregated data operations

6. Elasticsearch Client Integrations

   - Integrating Elasticsearch with various client libraries

   - Configuring clients and establishing communication with Elasticsearch

   - Sending queries from the client side and processing query results

7. Developing .Net Core Projects with NEST Library

   - Learning to use the NEST library with .Net Core projects

   - Building real-world projects with .Net Core MVC and APIs

## Prerequisites

Before diving into the course, it is recommended to have:

- Basic Docker knowledge.

- Basic C# knowledge.

- Basic AspNet Core knowledge.

## Getting Started

To get started with the course, follow these steps:

1. Clone the repository to your local machine.

2. Review the prerequisites and ensure you have the necessary knowledge.

3. Install Docker, .Net Core, and any other required software.

4. Explore the course content and start learning about Elasticsearch.

## How to Contribute

Contributions to this project are always welcome! If you find any issues, have suggestions for improvements, or want to add new features, feel free to submit a pull request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.