{"id":167866,"date":"2023-04-21T16:37:32","date_gmt":"2023-04-21T15:37:32","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=167866"},"modified":"2023-10-30T18:51:02","modified_gmt":"2023-10-30T17:51:02","slug":"elasticsearch-everything-you-need-to-know","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/elasticsearch-everything-you-need-to-know","title":{"rendered":"ElasticSearch: Everything you need to know about this software"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"167866\" class=\"elementor elementor-167866\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3886623 e-flex e-con-boxed e-con\" data-id=\"3886623\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c7e8884 elementor-widget elementor-widget-heading\" data-id=\"c7e8884\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Elasticsearch is a distributed open-source data search and analysis engine based on Apache Lucene and developed in Java. The project began as a scalable version of the open-source Lucene search framework. The ability to horizontally extend Lucene indices was then added.\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c09fe9e elementor-widget elementor-widget-text-editor\" data-id=\"c09fe9e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">This tool allows storing, searching, and analyzing large volumes of data quickly and in near real-time. Responses are transmitted in milliseconds.<\/span><\/p><p><span style=\"font-weight: 400;\">This speed is because Elasticsearch searches an index rather than searching text directly. Its structure is based on documents rather than tables and schemas. REST APIs are used to store and explore data. In short, Elasticsearch is a server that can handle JSON queries and return JSON data.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f8257e e-flex e-con-boxed e-con\" data-id=\"0f8257e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9d17e35 elementor-widget elementor-widget-heading\" data-id=\"9d17e35\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How does Elasticsearch work?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2a2e05 elementor-widget elementor-widget-text-editor\" data-id=\"b2a2e05\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Elasticsearch works on several basic concepts. Here are its main components.<\/span><\/p><p><span style=\"font-weight: 400;\">Documents are the <\/span><b>basic unit of information<\/b><span style=\"font-weight: 400;\"> that can be indexed in Elasticsearch. It is expressed in JSON format, which is the global data interchange format.<\/span><\/p><p><span style=\"font-weight: 400;\">A document can be compared to a row in a <\/span><a href=\"https:\/\/datascientest.com\/en\/sql-learn-all-about-the-programming-language-for-databases\"><b>relational database<\/b><\/a><span style=\"font-weight: 400;\">, representing a specific entity. However, this document is not limited to text and can be any type of <\/span><b>structured data encoded in JSON<\/b><span style=\"font-weight: 400;\">. It can be numbers, lines of code, or dates&#8230; each document has a unique identifier and a data type describing the category of the entity it contains.<\/span><\/p><p><span style=\"font-weight: 400;\">An index is a collection of documents with similar characteristics. It is the <\/span><b>highest level of an entity<\/b><span style=\"font-weight: 400;\"> on which it is possible to perform queries in Elasticsearch.<\/span><\/p><p><span style=\"font-weight: 400;\">You can compare the index to <\/span><a href=\"https:\/\/datascientest.com\/en\/database-what-is-it\"><b>a database<\/b><\/a><span style=\"font-weight: 400;\">. All documents in an index are linked by category. The index is identified by a name so that it can be referred to during search or analysis operations.<\/span><\/p><p><span style=\"font-weight: 400;\">In reality, an Elasticsearch index is an inverted index. This mechanism is <\/span><b>the source of all search engines<\/b><span style=\"font-weight: 400;\"> and associates a mapping of content to its location in a document or set of documents. This hashmap-like data structure allows you to go from a word to a document.<\/span><\/p><p><span style=\"font-weight: 400;\">An Elasticsearch cluster is a group of interconnected instances. It allows tasks, search, or indexing to be distributed between nodes.<\/span><\/p><p><span style=\"font-weight: 400;\">A node is an<\/span><b> individual server<\/b><span style=\"font-weight: 400;\">, stores data and contributes to the search and indexing capabilities of the cluster. A node can be configured in different ways.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f7816b1 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"f7816b1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"413\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/04\/elasticsearch-features.jpg\" class=\"attachment-large size-large wp-image-167873\" alt=\"elasticsearch-features\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/04\/elasticsearch-features.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/04\/elasticsearch-features-300x161.jpg 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18041f4 elementor-widget elementor-widget-text-editor\" data-id=\"18041f4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The Master Node controls the Elasticsearch cluster and takes responsibility for cluster-wide operations such as creating or deleting an index and adding or removing nodes.<\/span><\/p><p><span style=\"font-weight: 400;\">A Data Node <\/span><b>stores data and performs data operations<\/b><span style=\"font-weight: 400;\"> such as search and aggregation, while a Client Node forwards cluster queries to the Master Node and data queries to the Data Nodes.<\/span><\/p><p><span style=\"font-weight: 400;\">Indexes can be <\/span><b>subdivided into chunks<\/b><span style=\"font-weight: 400;\"> called &#8220;shards&#8221;. Each fragment is an independent, fully functional index that can be hosted on any node within a cluster.<\/span><\/p><p><span style=\"font-weight: 400;\">By distributing the documents in an index across <\/span><b>multiple fragments<\/b><span style=\"font-weight: 400;\"> and distributing those fragments across multiple nodes, Elasticsearch provides redundancy to <\/span><b>protect against hardware failure<\/b><span style=\"font-weight: 400;\"> while increasing query capacity as nodes are added to the cluster.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, fragments can be copied to generate &#8220;replicas. Again, the goal is to protect data from hardware failure and increase the ability to respond to read requests.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3994098 e-flex e-con-boxed e-con\" data-id=\"3994098\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0cd0ea3 elementor-widget elementor-widget-heading\" data-id=\"0cd0ea3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Elastic Slack<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-392f161 elementor-widget elementor-widget-text-editor\" data-id=\"392f161\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Elastic Slack is a complete ecosystem of open-source tools for data ingestion, enrichment, storage, analysis, and visualization. In addition to Elasticsearch, other software includes Logstash, Kibana, and Beats.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><strong><a href=\"https:\/\/datascientest.com\/en\/kibana-what-is-it\">Kibana data management<\/a><\/strong><span style=\"font-weight: 400;\"> and visualization tool deliver <\/span><b>real-time histograms<\/b><span style=\"font-weight: 400;\">, charts, or maps. It allows you to <\/span><b>visualize Elasticsearch data in real-time<\/b><span style=\"font-weight: 400;\">, and to choose visualizations thanks to a very intuitive interface.<\/span><\/p><p><span style=\"font-weight: 400;\">Logstash aggregates and processes data sent to Elasticsearch. This open-source data processing pipeline is capable of ingesting data from multiple sources, transforming it, and transferring it. Data can be transformed regardless of its format.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, Beats brings together several &#8220;Data Shipping&#8221; agents to send data from thousands of machines and systems to <\/span><b>Logstash<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Elasticsearch<\/b><span style=\"font-weight: 400;\">. This tool is very useful for assembling data.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b5c3b5 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"9b5c3b5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"445\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-1024x569.jpg\" class=\"attachment-large size-large wp-image-167872\" alt=\"Elasticsearch characteristics\" srcset=\"https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-1024x569.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-300x167.jpg 300w, https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-768x426.jpg 768w, https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-1536x853.jpg 1536w, https:\/\/datascientest.com\/en\/files\/2023\/04\/5596347_55898-2048x1137.jpg 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-360d455 e-flex e-con-boxed e-con\" data-id=\"360d455\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5a9837a elementor-widget elementor-widget-heading\" data-id=\"5a9837a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Elasticsearch used for?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f22f79e elementor-widget elementor-widget-text-editor\" data-id=\"f22f79e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Elasticsearch is used for a wide variety of purposes. For example, Elasticsearch is used for applications that rely on a <\/span><b>search platform<\/b><span style=\"font-weight: 400;\"> to access data.<\/span><\/p><p><span style=\"font-weight: 400;\">Websites that store large amounts of content also benefit from this search engine. The same is true for companies using it for internal searches.<\/span><\/p><p><span style=\"font-weight: 400;\">Another use case for Elasticsearch is real-time log data ingestion and analysis, or container monitoring. In addition, this tool is widely used for <\/span><b>cybersecurity analysis<\/b><span style=\"font-weight: 400;\">. Finally, the various features offered by the Elastic Stack make it an excellent choice for business analysis.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff21294 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"ff21294\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our Data Engineer course training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-87a0f61 e-flex e-con-boxed e-con\" data-id=\"87a0f61\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7aefb30 elementor-widget elementor-widget-heading\" data-id=\"7aefb30\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">By whom is Elasticsearch used? \n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-05f117f elementor-widget elementor-widget-text-editor\" data-id=\"05f117f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Many companies use Elasticsearch, including some of the most well-known ones. Here are a few examples.<\/span><\/p><p><b>Netflix<\/b><span style=\"font-weight: 400;\"> uses the ELK stack for many use cases to <\/span><b>monitor and analyze customer service<\/b> <b>operations<\/b><span style=\"font-weight: 400;\"> and security logs. The company&#8217;s messaging system relies on Elasticsearch. While the firm initially used a few isolated deployments, it now operates one of the dozens of clusters consisting of several hundred nodes.<\/span><\/p><p><span style=\"font-weight: 400;\">E-commerce giant <\/span><b>eBay<\/b><span style=\"font-weight: 400;\"> has created an Elasticsearch-as-a-Service platform that allows it to <\/span><b>easily provide clusters<\/b><span style=\"font-weight: 400;\"> on its internal OpenStack-based cloud platform. This meets its text analytics and search needs.<\/span><\/p><p><span style=\"font-weight: 400;\">We can also mention <\/span><b>Walmart<\/b><span style=\"font-weight: 400;\">, the hypermarket chain. Thanks to Elastic Stack, the firm can <\/span><b>reveal the hidden value of its data<\/b><span style=\"font-weight: 400;\"> to take advantage of clues about its customers&#8217; <\/span><b>shopping habits<\/b><span style=\"font-weight: 400;\">, the performance of its stores, or the <\/span><b>impact of seasonal events<\/b><span style=\"font-weight: 400;\">. All in real-time. The security features of the ELK stack also help it detect any anomalies.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-311e1a8 e-flex e-con-boxed e-con\" data-id=\"311e1a8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a6fd3dc elementor-widget elementor-widget-heading\" data-id=\"a6fd3dc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the options to get trained on ElasticSearch? <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eeba9cf elementor-widget elementor-widget-text-editor\" data-id=\"eeba9cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Mastering ElasticSearch is a highly sought-after skill. To master this tool, you can choose DataScientest.<\/span><\/p><p><span style=\"font-weight: 400;\">Our <\/span><a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\"><b>Data Engineer course<\/b><\/a><span style=\"font-weight: 400;\"> teaches you how to use Elasticsearch through the Database module. You will also learn about SQL, <\/span><a href=\"https:\/\/datascientest.com\/en\/mongodb-all-about-the-document-oriented-nosql-database\"><b>MongoDB<\/b><\/a><span style=\"font-weight: 400;\">, and Neo4J.<\/span><\/p><p><span style=\"font-weight: 400;\">The other modules in this program cover Python programming, Data Science, Big Data, CI\/CD, and automation. At the end of the curriculum, you will have all the skills required to become a data engineer.<\/span><\/p><p><span style=\"font-weight: 400;\">You will be able to identify an organization&#8217;s data architecture needs, build acquisition and automatic processing pipelines, deploy and adapt <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><b>Machine Learning models<\/b><\/a><span style=\"font-weight: 400;\"> on production servers, and define a global Data strategy for the organization.<\/span><\/p><p><span style=\"font-weight: 400;\">This course can be completed in a 9-month Continuing Education program, or an intensive 11-week BootCamp mode. All our distance learning courses adopt an innovative<\/span><b> Blended Learning approach<\/b><span style=\"font-weight: 400;\">, combining individual coaching on our online platform and collective Masterclasses.<\/span><\/p><p><span style=\"font-weight: 400;\">At the end of the program, you will receive a certificate issued by University La Sorbonne\u00a0 as part of a prestigious partnership.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-614a653 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"614a653\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Start a Data Engineer training course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fc6b26 elementor-widget elementor-widget-text-editor\" data-id=\"7fc6b26\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">You know everything about Elasticsearch. For more information on the Data Engineer profession, see our file on SQL.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8b6ca32 e-flex e-con-boxed e-con\" data-id=\"8b6ca32\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-142ba0f elementor-widget elementor-widget-html\" data-id=\"142ba0f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"How does Elasticsearch work?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Elasticsearch works on several basic concepts. Here are its main components. Documents are the basic unit of information that can be indexed in Elasticsearch. It is expressed in JSON format, which is the global data interchange format. A document can be compared to a row in a relational database, representing a specific entity. However, this document is not limited to text and can be any type of structured data encoded in JSON. It can be numbers, lines of code, or dates... each document has a unique identifier and a data type describing the category of the entity it contains.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is Elasticsearch used for?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Elasticsearch is used for a wide variety of purposes. For example, Elasticsearch is used for applications that rely on a search platform to access data. Websites that store large amounts of content also benefit from this search engine. The same is true for companies using it for internal searches. Another use case for Elasticsearch is real-time log data ingestion and analysis, or container monitoring. In addition, this tool is widely used for cybersecurity analysis. Finally, the various features offered by the Elastic Stack make it an excellent choice for business analysis.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"By whom is Elasticsearch used?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Many companies use Elasticsearch, including some of the most well-known ones. Here are a few examples. Netflix uses the ELK stack for many use cases to monitor and analyze customer service operations and security logs. The company's messaging system relies on Elasticsearch. While the firm initially used a few isolated deployments, it now operates one of the dozens of clusters consisting of several hundred nodes.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Elasticsearch is a distributed open-source data search and analysis engine based on Apache Lucene and developed in Java. The project began as a scalable version of the open-source Lucene search framework. The ability to horizontally extend Lucene indices was then added. This tool allows storing, searching, and analyzing large volumes of data quickly and in [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":167867,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ElasticSearch: Everything you need to know about this software<\/title>\n<meta name=\"description\" content=\"Elasticsearch is a distributed open-source data search and analysis engine based on Apache Lucene and developed in Java.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/elasticsearch-everything-you-need-to-know\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ElasticSearch: Everything you need to know about this software\" \/>\n<meta property=\"og:description\" content=\"Elasticsearch is a distributed open-source data search and analysis engine based on Apache Lucene and developed in Java. 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