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Mallikarjun H T
Mallikarjun H T

Posted on • Originally published at dev.to

Elastic Search Intro

  • What is Elasticsearch?

    • Elasticsearch is the search and analytics engine that powers the Elastic Stack.
    • It provides near real-time search and analytics for all types of data, whether structured or unstructured.
  • Key Features and Concepts:

    • Inverted Index: Elasticsearch uses an inverted index data structure for fast full-text searches.
    • Text Analysis: Converts unstructured text into a structured format optimized for search.
    • Query DSL, ES|QL, EQL, SQL: Various query languages to retrieve data.
    • Search Applications: Building search applications with Elasticsearch.
    • Search Analytics: Analyzing search patterns and behaviors.
    • Aggregations: Performing complex data aggregations.
    • Geospatial Analysis: Handling geospatial data.
    • Machine Learning: Integrating machine learning capabilities.
    • Alerting: Setting up alerts based on specific conditions.
    • Data Management: Downsampling, snapshot, and restore.
    • REST APIs: Accessing Elasticsearch programmatically.

For detailed information, refer to the official Elasticsearch documentation. 🚀🔍

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Mallikarjun H T