Elasticsearch Online Training

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Elasticsearch Online Training


 (4.9) | 150 Ratings


Introduction


Elasticsearch Online Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 30 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

Elasticsearch 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 And 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
  • index templates, features, and functionality

Big Data 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 Test & Interview Questions

 

 

              

Exam & Certification

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Course Curriculum

Elasticsearch 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 And 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
  • index templates, features, and functionality

Big Data 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 Test & Interview Questions

 

 

              

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