Starting from 5.5.6, after using 2.X and 7.X, Elasticsearch has grown to 8.X unknowingly. For the latest version 8.3, let’s learn about it as a whole
What is Elasticsearch?
slogan: You Know, for search
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Elasticsearch is the distributed search and analysis engine at the core of the Elastic Stack
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Logstash and Beats facilitate the collection, aggregation, enrichment of your data reserves, and store them in RS
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Kibana allows you to interactively explore, visualize, share data visualizations, manage and monitor systems
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Elasticsearch can index, search, analyze, and many more possibilities
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Elasticsearch provides near real-time queries that can analyze all types of data
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Whether you have structured or unstructured text, numbers, geographic data, ES can effectively store and index by supporting fast query
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You can discover more through simple data retrieval, you can aggregate information to get more trends and patterns in data
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When the magnitude of your data and queries increases, the distributed nature of ES can make your upgrades seamless
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But not all problems are a query problem, ES provides a series of fast and flexible use cases to help you process your data
- Add a search box in APP or webpage
- Store and analyze logs, metrics data, security event data
- Automatically model data in real time using machine learning
- Use ES to automate business workflows and build a storage engine
- Use ES to manage, migrate, and analyze spatial data to build a geographic information system
- Use ES to store and process genetic data and build a biological research tool
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We also continue to be amazed by the many new ways people practice search
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But whether your use case is similar to these, or you are using es to solve some new problems, ES is consistent in processing data, documents, and indexes