Elasticsearch Mapping: Mastering Keyword and Text Data Types

Choosing the wrong data type for textual data in Elasticsearch can lead to slow search performance, bloated indexes, and incorrect query results. This course teaches you how to structure your search schema correctly from the start, ensuring your search engine is both fast and accurate. What you'll learn: - Understand the core differences between structured keyword fields and analyzed text fields. - Configure custom analyzers, tokenizers, and filters to process text for full-text search. - Implement multi-fields to index the same string data as both keyword and text for flexible querying. - Apply modern mapping techniques, including runtime fields, to optimize index storage and query performance. - Write precise term-level queries and full-text search queries using best practices. You will start with foundational search terminology and mapping concepts before moving into practical text analysis workflows, mapping configurations, and query optimization techniques. This course is designed for beginner database administrators, software developers, and search engineers who are new to Elasticsearch and want to build a solid foundation in data modeling. Start reading today to optimize your search architecture and write more efficient Elasticsearch queries.