{"product_id":"elasticsearch-pro-index-analyze-and-visualize-on-demand-training","title":"Elasticsearch Pro: Index, Analyze, and Visualize On-Demand Training","description":"\u003cdiv\u003eThis course is taught in online format It consists of 5 units and a final project. The course lasts 115 hours. distribute between the content and the collaboration tools. Upon completion, the student will receive a certificate of completion.\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eCourse Description\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cspan\u003eIn today's environment, the efficient and agile management of large volumes of data has become a key element for the success of organizations across all sectors. Elasticsearch stands out as one of the most powerful and versatile tools for searching, analyzing, and visualizing information in real time.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cspan\u003eThis training program has been designed to provide participants with the fundamental knowledge and practical skills necessary to implement and make the most of Elastic Search capabilities in professional environments.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cspan\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cspan\u003eThrough theoretical content and applied activities, the aim is for each person to acquire a comprehensive vision of data management, index structure and efficient querying, thus laying the foundations for the development of advanced analysis projects and scalable search solutions.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"ES\"\u003eThis proposal is aimed at professionals in areas such as computer engineering, data analysis, systems administration and software development who seek to strengthen their skills in handling and exploiting large volumes of information.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"ES\"\u003eIt is also relevant for technical staff in technology departments, digital transformation project managers, and business intelligence specialists who need to integrate Elastic Search into their solutions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"ES\"\u003eThe activities and content are also useful for those with no prior experience using the tool who wish to begin using advanced search engines and data visualization techniques. The program has been designed to adapt to both those with basic knowledge and those who aspire to delve deeper into the architecture, optimization, and scalability of Elastic Search in enterprise environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch3\u003e\u003cspan\u003eTraining Objectives\u003c\/span\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstanding the Elastic Stack: Become familiar with the main components such as Elasticsearch, Kibana, Beats, and Logstash.\u003c\/li\u003e\n\u003cli\u003eData Indexing: Learn how to index documents and manage data within Elasticsearch.\u003c\/li\u003e\n\u003cli\u003eAnalysis and visualization: Use Kibana to create dashboards, perform queries, and visualize data.\u003c\/li\u003e\n\u003cli\u003eOptimization and scalability: Learn best practices to improve search performance and scale clusters.\u003c\/li\u003e\n\u003cli\u003ePractical applications: Develop skills to implement real-world search, analysis, and monitoring solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3\u003eCourse Content\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"ES\"\u003eThe following is a training program organized linearly, unit by unit, that guides participants through the essential concepts and practical skills needed to master Elastic Search in professional environments.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003eUnit 1: Architecture: nodes, shards, replicas - Index creation - Index templates (static\/dynamic) - Data Streams - ILM policies\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eDesign an index for logs with 3 shards, 2 replicas, compression, mapping for timestamp, message, level.\u003c\/li\u003e\n\u003cli\u003eCreate an index template for logs-app-YYYY.MM.dd.\u003c\/li\u003e\n\u003cli\u003eDefine a dynamic template that changes the analyzer based on the log type.\u003c\/li\u003e\n\u003cli\u003eConfigure ILM with rollover, 30 active days, archiving and deletion at 90 days.\u003c\/li\u003e\n\u003cli\u003eCreate an index template that generates a Data Stream for sensors.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eUnit 2: Term, Phrase, and Multi-Field Queries - Boolean Queries and Filters - Asynchronous Search - Metric Aggregations and Buckets - Sub-aggregations - Runtime Fields - Cross-cluster Search\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eWrite a query with an exact phrase + a single term using must and must_not.\u003c\/li\u003e\n\u003cli\u003eAdd filters by date range and numeric values (e.g., latency \u0026gt; 200 ms).\u003c\/li\u003e\n\u003cli\u003ePerform asynchronous search and retrieve results.\u003c\/li\u003e\n\u003cli\u003eFormulate metric aggregations (avg, sum, min, max) on response times.\u003c\/li\u003e\n\u003cli\u003eCreate buckets by log level (“info”, “warn”, “error”).\u003c\/li\u003e\n\u003cli\u003eImplement sub-aggregation: % of errors per service within a latency range.\u003c\/li\u003e\n\u003cli\u003eUse the runtime field to calculate normalized latency and filter.\u003c\/li\u003e\n\u003cli\u003eConfigure and run multi-cluster search.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eUnit 3: Highlighting - Sorting results - Advanced pagination - Index aliases - Search templates\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003ePerform a query with highlighting in text fields.\u003c\/li\u003e\n\u003cli\u003eSort results by level (error\u0026gt;warn\u0026gt;info) and descending timestamp.\u003c\/li\u003e\n\u003cli\u003eImplement pagination with from\/size and then search_after.\u003c\/li\u003e\n\u003cli\u003eCreate an index alias (logs-current) and move it during rollover without downtime.\u003c\/li\u003e\n\u003cli\u003eDefine a parameterized search template with variables (term, date, level).\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eUnit 4: Advanced Mappings - Custom Analyzers - Multi-fields - Reindexing and Update by Query - Ingestion Pipelines - Painless - Runtime Fields\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eDefine mapping with title, text, tags, date, geo.\u003c\/li\u003e\n\u003cli\u003eConfigure multi-field in title (analyzed text + keyword).\u003c\/li\u003e\n\u003cli\u003eCreate an analyzer with stop-words, lowercase, and n-grams.\u003c\/li\u003e\n\u003cli\u003ePipeline for raw logs: parse timestamp, extract level, clean fields.\u003c\/li\u003e\n\u003cli\u003ePainless script to assign numerical severity according to level.\u003c\/li\u003e\n\u003cli\u003eUse update_by_query to add a \"severity\" field to older documents.\u003c\/li\u003e\n\u003cli\u003eReindex to a new index with updated mapping.\u003c\/li\u003e\n\u003cli\u003eDefine a runtime field that calculates the difference between timestamps or a normalized value\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eUnit 5: Shard Diagnosis and Repair - Backups and Snapshots - Searchable Snapshots - Cross-cluster Search - Cross-cluster Replication - Updating and Monitoring\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eSimulate shard in \"network\" state and diagnose with _cluster\/health and _cat\/shards.\u003c\/li\u003e\n\u003cli\u003eRecover damaged shard.\u003c\/li\u003e\n\u003cli\u003eCreate a snapshot of critical indexes and partially restore one.\u003c\/li\u003e\n\u003cli\u003eConfigure queryable snapshot.\u003c\/li\u003e\n\u003cli\u003eConfigure cross-cluster search between 2 clusters and run remote query.\u003c\/li\u003e\n\u003cli\u003eImplement cross-cluster replication.\u003c\/li\u003e\n\u003cli\u003ePlan rolling version upgrade.\u003c\/li\u003e\n\u003cli\u003eConfigure cluster monitoring: JVM metrics, disk, latency, dashboards in Kibana.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eFinal Project: Implement a complete logging system with ingestion, ILM, advanced queries, aliases, backups and monitoring.\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eTo get the most out of this course, it is recommended that participants have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBasic computer skills and operating system management.\u003c\/li\u003e\n\u003cli\u003eFamiliarity with databases (relational or non-relational).\u003c\/li\u003e\n\u003cli\u003eBasic knowledge of JSON (data format used in Elasticsearch).\u003c\/li\u003e\n\u003cli\u003ePrevious experience in development or systems administration environments may be helpful, but is not required.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eCourse is available in English. \u003c\/p\u003e\n\u003cp\u003eStudent Access: 8 weeks\u003c\/p\u003e","brand":"Nanfor Iberica","offers":[{"title":"Default Title","offer_id":46870824419459,"sku":null,"price":1008.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0559\/6083\/0083\/files\/page-266.jpg?v=1774452305","url":"https:\/\/www.xtremelabs.io\/products\/elasticsearch-pro-index-analyze-and-visualize-on-demand-training","provider":"XtremeLabs Marketplace","version":"1.0","type":"link"}