ElasticSearch Online Training,Corporate Training & Support

Elasticsearch Training helps you to learn RESTful search, distributed, multi-tenant capable full-text search engine with an HTTP web interface and schema-free JSON documents, Explore different features of search Query DSL, capacity planning and data flow. This course also covers Advanced Distributed Model, Big Data Design Pattern, Understanding nested objects and parent-child relationships, filters and Lucene and etc. 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.  

FOR FREE DEMO contact :

Email : raj@apex-online-it-training.com
Phone/WhatsApp : +91-(850) 012-2107  
USA Number : 214-628-3894
Gtalk : raavi.sriraja@gmail.com

ElasticSearch Interview Questions and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided

(the course content can be modified as per your requirements):

Terminology, basic concepts, implementation, setup, and basic operations
What is Elasticsearch?
Overview of best practices
What’s in a distribution?
Understanding Elasticsearch cluster, shards, and replicas
Discussion of configuration, APIs, and local gateway

Multi Tenancy:
Value of multiple indices, index aliases, and cross-index operations
Introduction to data flow

Elasticsearch Index:
In-depth analysis of mappings, indexing, and operations
Discussion of transaction logs and Lucene indexing
Understanding configuration options, mappings, APIs, and available settings

Understanding search Query DSL
In-depth understanding of search components: aggregations, search types, highlighting and other options.
Overview of bitSets, filters and Lucene

Advanced Search & Mapping:
Introduction to aggregations and nested document relations
Understanding nested objects and parent-child relationships
The importance of geolocation, mapping, indexing query percolation, relevancy, searching, and more

Advanced Distributed Model:
Cluster state recovery, low level replication, low level recovery, and shard allocation
How to approach data architecture
ndex templates, features, and functionality

Bigdata Design Pattern:
In-depth content on multiple indices, overallocation, shard overallocation, node types, routing, replication, and aliases

Preparing For Production:
Discussion on capacity planning and data flow
Performance tuning, more on data flow, and memory allocation.

Running In Production:
Installation, configuration, memory file descriptions, and hardware Monitoring, alerts, thread pools, information and stats APIs

Practice tests & Interview Questions