{"product_id":"practical-elasticsearch-query-language","title":"Practical Elasticsearch Query Language","description":"\u003cp\u003e\u003cstrong\u003eHave you ever thought how great it would be if you could filter, transform, aggregate, search and enrich billions of Elasticsearch records in a single, readable line?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWell, that's the promise of ES|QL. It's the modern piped query language that's at the heart of this book. To get started, you just need to \u003cstrong\u003epick a source, chain each step with a pipe, and read your query from top to bottom like a sentence\u003c\/strong\u003e. The amount of JSON needed for this kind of work is much less than it used to be. \u003cstrong\u003eThis book is for data analysts, security professionals, and developers who work with large datasets, and it takes you from your very first query to production-ready integration\u003c\/strong\u003e. \u003cstrong\u003eYou'll be shaping and summarising data, cleaning messy logs, joining across indices, ranking results by relevance, and building semantic and hybrid AI-powered search\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003ePlus, you'll be \u003cstrong\u003evisualising your findings in Kibana dashboards\u003c\/strong\u003e and \u003cstrong\u003erunning ES|QL directly from Python, JavaScript, and automation\u003c\/strong\u003e.This book is all about getting you hands-on with real-life examples in an online retail setting, so you can put each concept into practice and get writing ES|QL straight away.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eKey Learnings\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWrite piped ES|QL queries that can filter, transform, and aggregate in one readable flow.\u003c\/p\u003e\n\u003cp\u003eRetrieve rows and columns with precise filtering and shaping.\u003c\/p\u003e\n\u003cp\u003eCompute new columns using math, string, date, and conditional functions inside queries.\u003c\/p\u003e\n\u003cp\u003eSummarise millions of rows into totals, averages, and trends using STATS.\u003c\/p\u003e\n\u003cp\u003eClean multi-value fields and parse unstructured logs into typed, query-ready columns.\u003c\/p\u003e\n\u003cp\u003eCorrelate data across indices using ENRICH policies and LOOKUP JOIN.\u003c\/p\u003e\n\u003cp\u003eRank results with full-text MATCH and relevance scoring.\u003c\/p\u003e\n\u003cp\u003eBuild semantic, hybrid, and AI-assisted search with vectors and inference.\u003c\/p\u003e\n\u003cp\u003eTurn queries into Kibana charts and interactive dashboards.\u003c\/p\u003e\n\u003cp\u003eRun ES|QL from Python, JavaScript, with further automation too.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable of Content\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eRunning ES|QL Queries\u003c\/p\u003e\n\u003cp\u003eRetrieve Desired Data\u003c\/p\u003e\n\u003cp\u003eCompute and Transform Values\u003c\/p\u003e\n\u003cp\u003eSummarize Data with Aggregations\u003c\/p\u003e\n\u003cp\u003eClean and Reshape Messy Data\u003c\/p\u003e\n\u003cp\u003eCorrelate Data across Indices\u003c\/p\u003e\n\u003cp\u003eSearch by Relevance\u003c\/p\u003e\n\u003cp\u003eBuild AI-Powered Search\u003c\/p\u003e\n\u003cp\u003eVisualize and Build Dashboards\u003c\/p\u003e\n\u003cp\u003eIntegrate ES|QL into Applications\u003c\/p\u003e","brand":"None","offers":[{"title":"Kobo eBook","offer_id":47184512516306,"sku":"3f8e00c1-3dcd-3284-9191-83ba63d750c2","price":42.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/image_11bcbc8c-6a60-4790-90d6-84ff0a6de199.jpg?v=1783524709","url":"https:\/\/www.indigo.ca\/products\/practical-elasticsearch-query-language","provider":"Indigo","version":"1.0","type":"link"}