Cursos de Elasticsearch

Elasticsearch Training

Capacitación en Buscador Elasticsearch

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Implementation and Administration of Elasticsearch

Learning a new skill

Aidan Thomas - IPO

Programas de los Cursos de Elasticsearch

Código Nombre Duración Información General
elasticsearchfordevs ElasticSearch for developers: building search and analytics solutions with Elasticsearch 14 horas Elasticsearch is an open-source, distributed search engine. It is commonly used together with Logstash (data-collection and log-parsing engine) and Kibana (analytics and visualization platform) to make up the the "ELK stack". This training is aimed at software developers who wish to build search and analytics solutions using Elasticsearch The training starts with a discussion of the ElastickSearch architecture, including its distributed model and search API. This is followed by an explanation of ElasticSearch's functionality and how to best integrate it into your own application. Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress. Audience     Software developers Format of the course      Heavy emphasis on live practice. Most of the concepts are learned through samples, exercises and hands-on development. Introduction to Elasticsearch Writing search queries Performing text analysis Defining mappings Expanding your searches The distributed model Manipulating search results Performing aggregations Handling data relationships Closing remarks
elastic2 Elasticsearch Administraciòn Avanzada, Monitoreo y Mantenimiento 14 horas Audiencia Los administradores o desarrolladores que quieran saber cómo usar Elasticsearch. Instalación Requisitos Diferentes maneras de instalar Elasticsearch Archivos de configuración interfaz web Uso de Elasticsearch como almacenamiento principal Consulta de la base de datos Actuación Relaciones Agregación Control de acceso Administración Supervisión Despliegue Mantenimiento y optimización Extensión de Elasticsearch Plugins disponibles Creación y mantenimiento de complementos propios Análisis básico Kibana Logstash Escala y alta disponibilidad Racimo Sharding
elastic1 Implementación y Administración de Elasticsearch 21 horas Audiencia:  Los administradores y desarrolladores que quieran saber cómo usar Elasticsearch. Arquitectura de Elasticsearch Lucene Plugins Archivos de configuración Clasificación y relevancia Racimo Distributed Document Store Búsqueda de cuerpo completo Gestión de índices Sharding Instalación Requisitos Diferentes maneras de instalar Elasticsearch Archivos de configuración interfaz web Configuración de la búsqueda Búsqueda Estructurada Búsqueda de texto completo Multifield Búsqueda Correspondencia de proximidad Partcial Matching Ajuste de relevancia Procesamiento del lenguaje humano Configuración del idioma Configuración de caracteres chinos (opcional si es necesario) Tokenization Normalización Encontrar la raíz de las palabras Para las palabras Sinónimos Errores ortográficos y errores tipográficos Sintonización de resultados Relaciones Geolocalización Agregación Administración Supervisión Despliegue Mantenimiento y optimización básica
kibana Kibana: Essentials 14 horas This training introduces Kibana to the users of Elastic Search. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. Setting up Prerequisites Elasticsearch: Introduction  Elasticsearch: Installation and Configuration elasticdump Brief Introduction to Kibana Nested Objects - Limitation to Kibana Setting up Kibana Kibana: Install and Configure Configuring Elasticsearch and connecting Kibana Dynamic Mapping Limitations Tribe Nodes Using Kibana Indices and Filters Discover Interface Time Filter Toolbar and Searchbar Field Lists Document Data and Context - Add/View/Edit/Delete Visualization Interface Aggregations Bucket Aggregations - Date Histogram, Date Range, Range, Histogram, Terms and Filters Metric Aggregations - Count, Sum, Average, Min, Max, Percentile, Percentile Ranks and Unique Create Visualization Chart, Line, Area Data Table Metrics Other Visualization Types Dashboard Interface: Building, Merging, Loading and Sharing Graph: Configure, Troubleshoot and Limitations Kibana: Dev Console Overview Shortcuts: Brief Settings and Configuring Kibana in Production SSL encryption Load Balancing using Elasticsearch Nodes Management Managing Fields and Formatters Saved Searches, Visualizationad and Dashboards Apache/nginx proxy for security Plugins Install/Update/Disable/Remove Plugins Plugins Manager  
elkforsysadmins ELK: ElasticSearch, Logstash and Kibana for administrators 14 horas This training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run. The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress. Audience System administrators Format of the course Heavy emphasis on live practice. Most of the concepts are learned through exercises and hands-on implementation and deployment. Introduction Elastic Stack Overview (ELK) Elasticsearch Overview: What and Why Terminology: Documents, Index, Shards, Node, Cluster, Scale Up/Out Operate: Configuring & Deploying Configuring Elasticsearch Deploying Elasticsearch Lab Node: Discovery, Types, and Cluster State Distributed Model and Discovery Master, Data, Client, and Tribe Nodes Master Election and Minimum Master Nodes Cluster State Shard Allocation Backup: Snapshot and Restore High Availability vs. Backup Repository, Snapshot, and Restore Internals Production Monitoring Alerting Best Practices JVM Query Performance Thread Pools Diagnosing Problems Production Operational Best Practices Memory Networking Disk Security Cluster Restart (Rolling and Full) Logstash What and Why Configuration Inputs, Filters, and Outputs Installation and configuration Backup and restore Cluster and availability nuances Best practices Kibana What and Why Configuration Settings Time Picker, Search, and Filters Kibana Discover, Visualization, and Dashboard Interfaces Installation and configuration Backup and restore Cluster and availability nuances Best practices Filebeat Logs and problems Filebeat architecture Installation and configuration Backup and restore Cluster and availability nuances Best practices

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