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Elasticsearch Certification Training

Elasticsearch

Transform your data skills with our sought-after Elasticsearch Course

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Highlights of Elasticsearch Course

Become an Elasticsearch Expert

24 Hours of Live, Instructor-Led Sessions

Updated and Industry-Validated Courseware

Hands-On Learning with Group Exercises

Real-World Simulations and Case Studies

Gain Proficiency in Elasticsearch Search Engine

Digital Library of Learning Resources

With tasks that require rapid processing speeds and huge amounts of data, developers turn to Elasticsearch, the open-source, readily scalable, enterprise-grade search engine that is gaining acceptance as a reliable search engine application. Elasticsearch helps you manage clusters, ensure automatic node recovery, and provide full security to your networks.

We bring you a comprehensive course on Elasticsearch that will help you grasp all the fundamentals of this search engine. Learn from expert trainers about text analysis, mappings, queries and filters, document modeling, data analytics, and much more. Our workshop focuses on practical understanding and uses a hands-on approach to give you a thorough working knowledge of Elasticsearch concepts. You will learn of its applications in real-time indexing and full-text search.

Why KnowledgeHut For Elasticsearch Training

Get The KnowledgeHut Advantage

Brilliant Track Record

KnowledgeHut has empowered over 450,000 professionals in various domains

Learn from the Best in The Industry

Get trained by the veterans in the field who have great experience across various domains

Updated Curriculum

Learn from the latest curriculum, designed keeping industry needs in mind

Hands-on Training

Understand concepts thoroughly, through activities, group exercises, and hands-on learning

Strengthen Foundations

Learn concepts from scratch by learning through step-by-step guidance and detailed feedback

Continual Learning Support

Choose from webinars, e-books, tutorials, and more to strengthen your learning

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Prerequisites for the Elasticsearch Course

Prerequisites and Eligibility
Prerequisites and Eligibility

Elasticsearch Course Curriculum

Curriculum

1. Module 1: Why Elasticsearch

Topics:

  • Topology and Clusters
  • CRUD
  • Index, Update, Re-Index, and Delete Documents
  • Bulk Operations
  • Lab
  • Module: Text Analysis
  • Analyzers - Tokenizers and Filters
  • Character Filters
  • Testing Analyzers
  • Built-In Analyzers
  • Synonym Handling
  • Lab

2. Module 2: Mappings

Topics:

  • CRUD and Relationship to Documents/Indices
  • Data Types
  • Dynamic Field Mappings
  • Index Templates
  • Lab

3. Module 3: Queries and Filters

Topics:

  • Distributed Search Fundamentals
  • Query DSL Deep Dive
  • Query Advice and Best Practices
  • Lab

4. Module 4: Suggestions

Topics:

  • Terms, Phrase, Completion, and Context Suggesters
  • Best Practices
  • Lab
  • Module: Aggregations
  • Fundamentals
  • Deep Dive of Each Aggregation
  • Lab

5. Module 5: Document Modeling

Topics:

  • Nested Objects and Documents
  • Impact of Document Structure on Search

6. Module 6: Advice and Best Practices

Topics:

  • Relevancy and Scoring
  • Fundamentals
  • Boost and Function Lab
  • Percolator and Notifications
  • Client Libraries and Testing
  • Case Studies

What You'll Learn in the Elasticsearch Course

Learning Objectives
Why Elasticsearch

Explore topics like Topology and Clusters, CRUD, Bulk Operations, Character Filters, and Analyzers.

Mappings

Explore CRUD and its relationship to documents/indices, Data Types, and Dynamic Field Mappings.

Queries and Filters

Learn Distributed Search, Query DSL, and best practices for efficient querying.

Suggestions

Master Suggesters like Terms, Phrases, and Context, plus Aggregation fundamentals.

Document Modeling

Learn about Nested Objects, Documents, and their impact on search performance.

Advice and Best Practices

Delve into Relevancy, Scoring, Boosting, Percolator, Notifications, and real-world case studies.

Who can attend the Elasticsearch Course

Who This Course Is For?
  • Big Data Professionals
  • Database Administrators
  • Aspiring Database Administrators
  • Aspiring Big Data Professionals
Who Should Attend

Elasticsearch Course FAQs

Frequently Asked Questions
Learning Elasticsearch

1. What are the practical skills will I on completing the Elasticsearch Training?

During this 24-hour course, a variety of topics will be covered with the aim of educating you on the open-source, enterprise-grade search engine that is Elasticsearch and the best practices of working on it. The following are the practical skills you’ll gain on course completion:

  • Leveraging Elasticsearch to analyze, visualize and search data
  • Implementing best practices for querying on Elasticsearch
  • Understanding the use of the full text search, indexes, and mapping features of Elasticsearch
  • Installing and deploying Elasticsearch

2. What are the eligibility criteria for this course?

Participants need to have a basic understanding of:

  • Linux/Unix System Concepts
  • Command Line Interface (CLI)
  • Text Editors
  • RDBMS Concepts

3. Who is the target audience for this course?

ElasticSearch training is targeted for aspiring DBAs, experienced Big Data professionals and enthusiasts alike who are already using SQL/NOSQL datastore or intend to use it to for the benefits it brings.

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