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Kibana 8.x – A Quick Start Guide to Data Analysis
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ES|QL is built upon a foundation of robust query capabilities and an intuitive syntax that empowers users to interact effectively with Elasticsearch data. At its core, ES|QL leverages the Elasticsearch query DSL (short for Domain-Specific Language), providing a comprehensive set of commands to articulate complex queries. The language is designed for flexibility, allowing users to seamlessly navigate the intricate structure of Elasticsearch indices.
ES|QL’s architecture incorporates a deep understanding of Elasticsearch’s distributed nature, ensuring optimal performance across large-scale datasets. It embraces principles of scalability, enabling users to harness its capabilities in diverse and demanding environments. The development of ES|QL involves a collaborative effort from the Elasticsearch community, with continuous enhancements and updates being introduced to adapt to evolving user needs and accommodate the latest features of...