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Elasticsearch

Elasticsearch is a powerful search and analytics engine. It's widely used for real-time data exploration and analysis, offering scalability and flexibility in handling large volumes of structured and unstructured data.

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Frequently asked questions

What is Elasticsearch?

Elasticsearch is an open-source search and analytics engine built on top of Apache Lucene. It is designed for scalable and real-time searching, storing, and analyzing large volumes of data. Elasticsearch is commonly used in applications requiring full-text search, log analytics, and business intelligence.
How does Elasticsearch handle data storage?

Elasticsearch stores data in a distributed and schema-free JSON format. It uses a structure called an "index" to organize and manage the data. Each index consists of one or more shards, which are the basic units of scalability and parallelism.
What are the key features of Elasticsearch?

Elasticsearch features include full-text search capabilities, real-time indexing, distributed search and analytics, support for various data types, scalability across clusters, and a RESTful API for easy integration with different applications.
How does Elasticsearch support full-text search?

Elasticsearch uses an inverted index to support full-text search efficiently. It tokenizes and indexes the content of documents, allowing for quick and relevant search results. It supports complex queries, filtering, and aggregations to provide powerful search capabilities.
What is the role of Kibana in conjunction with Elasticsearch?

Kibana is often used alongside Elasticsearch to visualize and explore data stored in Elasticsearch indices. It provides a user-friendly interface for creating dashboards, charts, and graphs, enabling users to interactively analyze and understand their data.

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