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Elasticsearch and OpenSearch for Developers
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A practical book about adding search and analytics to applications with Elasticsearch and OpenSearch. It covers mappings, analyzers, indexing, relevance, filters, aggregations, ingestion, scaling, snapshots, and monitoring. Read with a project in mind. Each chapter gives enough detail to build a small slice, test it, and understand how it behaves in production.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: What Search Engines Solve02Chapter 2: Indexes Documents and Inverted Indexes03Chapter 3: Mappings Field Types and Analyzers04Chapter 4: Indexing Pipelines and Bulk Writes05Chapter 5: Full-Text Queries and Relevance06Chapter 6: Filters Sorting and Pagination07Chapter 7: Aggregations for Analytics08Chapter 8: Autocomplete Suggestions and Highlighting09Chapter 9: Relevance Tuning and Synonyms10Chapter 10: Shard Design and Capacity Planning11Chapter 11: Snapshots Restore and Index Lifecycle12Chapter 12: Security Multi-Tenancy and Access Control13Chapter 13: Monitoring Slow Queries and Cluster Health14Chapter 14: Zero-Downtime Reindexing15Chapter 15: Search Observability and A-B Tests16Chapter 16: Capstone Product Search System17Appendix A: Implementation Checklist18Appendix B: Production Readiness Review19Appendix C: Common Mistakes and Fixes20Appendix D: Capstone Project Guide
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