Open Source/Elasticsearch

Elasticsearch Certification Training Course Overview

This course provides strong knowledge about Elasticsearch. Your knowledge develops on deploying and managing Elasticsearch clusters, usage of deployment for developing powerful search and analytics solutions with hands-on practices.

Audience

  • Developers who wanted to learn about Elasticsearch.
  • This course is intended for developers.
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Elasticsearch (32 Hours) Download Course Contents

Live Virtual Classroom
Group Training 1450
02 - 05 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
06 - 09 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training (GTR) 1700
4 Hours
8 Hours
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Week End

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Course Modules

Module 1: Introduction
  • Overview of Elastic Search
  • Use Cases
  • Elastic Search Terminologies
Module 2: Installation and Configuration
  • Deploy Elastic Search
  • Configure a multi-node cluster
  • Configure cluster nodes
  • Deploy and configure Kibana
  • Secure Cluster using X-Pack Security
  • Managing Users and Roles Using Kibana
Module 3: Indexing Data
  • Create, Read, Update and Delete Operations in Elastic Search
  • Index Templates
  • Create custom & dynamic Index Templates
  • ReIndexing or Updating Documents
Module 4: Mapping and Text Analysis
  • Define Index Mapping
  • Managing Custom Analyzer
  • Use Multi-Fields with Different Data Types or Analyzers
  • Field Mappings
  • Field Mappings
Module 5: Cluster Administration
  • Allocate the Shard of an Index to Specific Nodes
  • Segment cluster into zones
  • Troubleshoot Shard Issues and Repair Cluster’s Health
  • Back Up and Restore a Cluster
  • Backup and Restore a Specific Indices
  • Configure a Cluster for Use with a Hot/Warm Architecture
  • Configure Cross-Cluster
Module 6: Queries
  • Search Query
  • Multiple Queries into one
  • Highlighting the Search Terms
  • Sorting the Query Results
  • Implement Pagination
  • Define and Use a Search Template
  • Search Query Across Multiple Clusters
Module 7: Aggregations
  • Metric and Bucket Aggregations
  • Nested Metric Aggregation
  • Pipeline Aggregations
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Course Prerequisites
  • Basic knowledge in Text Editor
  • Exposure or interest for simple databases, distributed systems, or retrieving information.
  • Linux / UNIX system concepts
  • Command Line Interface (CLI)
  • Experience with Managing Systems / Applications / Infrastructure or Transactions / Automations

On completion of this course, you will be able to accomplish:

  • To build a powerful search engine with Elasticsearch
  • To write complex search queries
  • Proficient with Elasticsearch concepts and terminology

FAQ's