Elasticsearch Training Courses

Elasticsearch Training

Elasticsearch search engine courses

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Implementation and Administration of Elasticsearch

Learning a new skill

Aidan Thomas - IPO

Elasticsearch Course Outlines

Code Name Duration Overview
elastic1 Implementation and Administration of Elasticsearch 21 hours Audiance Administrators or developers who want to know how to use Elasticsearch.   Architecture of Elasticsearch Lucene Plugins Configuration files Sorting and Relevance Cluster Distributed Document Store Full-Body Search Index Management Sharding Installation Requirements Different ways of installing Elasticsearch Configuration Files Web interface Search Configuration Structured Search Full-Text Search Multifield Search Proximity Matching Partcial Matching Relevance Adjustment Human Language Processing Language Configuration Chinese characters configuration (optional if needed) Tokenization Normalization Finding root of the words Stopwords Synonyms Misspellings and Typos Result Tuning Relationships Geolocation Aggregation Administration Monitoring Deployment Maintenance and basic optimization
elastic2 Elasticsearch Advanced Administration, Monitoring and Maintenance 14 hours Audience Administrators or developers who want to know how to use Elasticsearch.   Installation Requirements Different ways of installing Elasticsearch Configuration Files Web interface Using Elasticsearch as primary storage Querying database Performance Relationships Aggregation Access control Administration Monitoring Deployment Maintenance and  optimization Extending Elasticsearch Available Plugins Creating and maitaining own plugins Basic Analytics Kibana Logstash Scaling and High Availability Cluster Sharding  
elastaddev Administration and Development of Elasticsearch 28 hours Audience Administrators or developers who want to know how to use Elasticsearch. Architecture of Elasticsearch Lucene Plugins Configuration files CRUD Sorting and Relevance Topology and Clusters Distributed Document Store Full-Body Search Index Management Bulk Operations Sharding Lab Installation Requirements Different ways of installing Elasticsearch Configuration Files Web interface Lab Mappings CRUD and relationship to documents/indices Data Types Dynamic Field Mappings Index Templates Lab Search Configuration Structured Search Full-Text Search Analyzers - Tokenizers and Filters Character Filters Testing Analyzers Built-In Analyzers Synonym Handling Multifield Search Proximity Matching Partial Matching Relevance Adjustment Lab Queries and Filters Distributed Search Fundamentals Query DSL Deep Dive Query Advice and Best Practices Lab Human Language Processing Language Configuration Chinese characters configuration (optional if needed) Tokenization Normalization Finding root of the words Stopwords Synonyms Misspellings and Typos Lab Suggestions Terms, Phrase, Completion, and Context Suggestors Best Practices Lab Aggregations Fundamentals Deep dive of each aggregation Lab Document Modeling Nested Objects and Documents Impact of document structure on search Lab Result Tuning Relationships Geolocation Aggregation Lab Administration Monitoring Deployment Maintenance and basic optimization Lab Advice and Best Practices Relevancy and Scoring Fundamentals Boost and Function Lab Percolator and Notifications Client Libraries and Testing Case Studies
elasticsearchfordevs ElasticSearch for developers: building search and analytics solutions with Elasticsearch 14 hours 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
elkforsysadmins ELK: ElasticSearch, Logstash and Kibana for administrators 14 hours This training is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). 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
kibana Kibana: Essentials 14 hours 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  

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