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]

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