By the end of this course, learners will be able to apply nested queries, implement parent-child mappings, and execute relational-style joins in Elasticsearch for advanced data modeling. You will gain the skills to index event-driven data, use inner hits for detailed matches, and optimize query performance with global ordinals.



Elasticsearch Joins & Parent-Child Queries
This course is part of Elastic Stack Mastery with Elasticsearch & AWS Specialization

Instructor: EDUCBA
Included with
What you'll learn
Apply nested and parent-child queries for data modeling.
Optimize Elasticsearch joins and query performance.
Implement relational-style data structures using mappings.
Skills you'll gain
Details to know

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October 2025
9 assignments
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There are 3 modules in this course
This module introduces learners to the relational aspects of Elasticsearch, focusing on how queries can simulate relational joins within JSON structures. It covers application-side joins, nested queries, mapping validations, and practical workshops to ensure accurate and efficient query execution. By the end of this module, learners will understand how to structure and query complex document relationships.
What's included
8 videos3 assignments
This module explores how event-based data is indexed and analyzed in Elasticsearch. Learners will work with sign-up and payment events, post-event indexing, and the use of inner hits for detailed query results. The module also introduces parent-child mappings and global ordinals to efficiently model one-to-many relationships.
What's included
7 videos3 assignments
This module provides hands-on practice with advanced parent-child queries. Learners will master the has_child and has_parent queries, refine queries with constraints, and sort parent documents using child values. The focus is on understanding performance considerations and effectively linking parent and child data for scalable queries.
What's included
5 videos3 assignments
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