By completing this course, learners will be able to design data models, configure clusters, build custom analyzers, and construct powerful queries in Elasticsearch. They will also master the use of Cluster, Indices, and Document APIs to manage distributed data efficiently. The course provides practical skills in configuring analyzers, avoiding split-brain issues, translating SQL queries into Elasticsearch DSL, and implementing advanced queries such as geo_point and geo_shape searches.
Elasticsearch: Build, Query & Optimize with ELK
Elasticsearch: Build, Query & Optimize with ELK
This course is part of Elastic Stack Mastery with Elasticsearch & AWS Specialization
Instructor: EDUCBA
Access provided by Gov Academy - DGE
Gain insight into a topic and learn the fundamentals.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Configure clusters and manage data with Elasticsearch APIs.
Build custom analyzers and execute advanced geo queries.
Integrate Elasticsearch with Logstash and Kibana for analytics.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
20 assignments
Taught in English
Recently updated!
October 2025
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This course is part of the Elastic Stack Mastery with Elasticsearch & AWS Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 5 modules in this course
This module introduces learners to the ELK Stack, the basics of NoSQL, and the fundamental building blocks of Elasticsearch. Students will explore core concepts such as clusters, nodes, mappings, and data types, while also practicing with developer tools for real-time interaction.
What's included
10 videos4 assignments
This module explores how analyzers process text for search, the importance of tokenizers and filters, and Elasticsearch’s approach to transactions. It also covers cluster settings, discovery configuration, and techniques to prevent the split-brain problem.
What's included
12 videos4 assignments
This module teaches learners to build and optimize queries in Elasticsearch. Topics include query vs. filter contexts, full-text queries, term-level queries, range queries, and advanced geospatial queries for real-world applications.
What's included
16 videos4 assignments
This module focuses on effective data modeling and designing custom analyzers. Learners will explore SQL-to-DSL translation, dynamic templates, and strategies for managing multiple custom analyzers to improve indexing and search accuracy.
What's included
17 videos4 assignments
This module introduces Elasticsearch APIs for managing clusters, indices, and documents. Students will learn how to monitor cluster health, manage indices with aliases, and perform CRUD operations with Document APIs and the Bulk API.
What's included
13 videos4 assignments
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