Build advanced Elasticsearch skills to model and query complex document relationships. You’ll begin by exploring how Elasticsearch supports relational-style querying through application-side joins and JSON structures. You’ll then apply nested queries, configure appropriate mappings, validate document structures, and accurately analyze arrays of objects.

As you progress, you’ll index event-driven data such as sign-up and payment events, examine data flows, and use inner hits to retrieve detailed nested or child document matches. You’ll also construct parent-child mappings, use global ordinals, and evaluate performance trade-offs when modeling one-to-many relationships without duplicating data. Through structured lessons and practical workshops, you’ll implement has_child and has_parent queries, refine results with filters and constraints, and sort parent documents using child values. Designed for data engineers, developers, and search specialists, this course uniquely connects familiar relational concepts with Elasticsearch’s document-oriented model. Enroll to confidently structure, index, and query complex datasets while making informed decisions about nested and parent-child approaches.