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Elastic Stack Tutorial ELK Stack 6 - Query and filter context

Elastic Stack Tutorial ELK Stack 6 - Query and filter context In this video, We will understand how query and filter context works. We will also understand the importance of relevance scores in Elasticsearch.

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The Elastic Stack tries to make it as easy as possible to ingest data into Elasticsearch. Filebeat is a great tool for tailing files and comes with a set of modules which makes it possible to ingest a wide range of common log formats with minimal configuration. If the data you are looking to ingest is not covered by these modules, Logstash and Elasticsearch ingest nodes provide a flexible and powerful way to parse and process most types of text-based data.

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Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. Logstash is a flexible, open source data collection, enrichment, and transportation pipeline.Filebeat is a lightweight application for reading log files and forwarding to Logstash.

#ElasticSearch #Logstash #Kibana #ELKStack #ElasticStack
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