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ElasticSearch Interview Queries and Answers, Recorded Video Sessions, Materials, Mock Interviews Assignments Will be provided
ELASTIC-SEARCH COURSE CURRICULUM
(the course content can be modified as per your requirements):

Introduction:
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
Search:
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