10% off Core Elasticsearch Training

On November 12-13, the official core Elasticsearch training course will be held in Madrid, and we have a 150€ discount for Barcelona Meetup members. Sign up for this meetup to receive the discount code.

@peteconnolly:

Two really useful and productive days of training from @kimchy and @uboness all about #elasticsearch. Best training course in years

@andrew_clegg:

Can highly recommend training from elasticsearch.com - thorough, balanced material, and proper insider insight, thx @kimchy & @uboness

This training will guide you through Elasticsearch. It’s an in-depth instructor-led training course with hands-on activities and case-discussion held by Elasticsearch developers.

http://www.elasticsearch.com/services/training/

The course aims to provide a solid foundation in search and information retrieval, starting with basic fundamental concepts and internals throughout best-practices, key features and distributed search application development with Elasticsearch. During and after the training hours there will be time for discussions as well as attendee case-studies. At the end of the training you will have a deep understanding of how Elasticsearch works, you will be able to reliably analyze, understand and solve common problems and ready to build state of the art search applications.

Course Outline

Introduction - Terminology, basic concepts, setting up and basic operations Distributed Model - Elasticsearch cluster, shards and replicas, configuration, APIs and local gateway Multi Tenancy - Multiple indices, index aliases, cross index operations and introduction to data flow Elasticsearch Index - Analysis, mappings, index operations, versioning, APIs and settings Search - Query DSL, sorting, facets, search types, highlighting, routing and other search components Advanced Search/Mappings - Nested documents, parent/child relationships, geo-location search, “more like this” (MLT), query percolation and relevancy Advanced Distributed Model - Cluster state recovery, low level replication, low level recovery and shard allocation Big Data Design Pattern - Multiple indices, shard over-allocation, routing and aliases Preparing for Production - Performance tuning, more on data flow and memory allocation Running in Production - Monitoring, alerts, info/stats APIs