Elasticsearch Course for Beginners

🎯 Загружено автоматически через бота: 🚫 Оригинал видео: 📺 Данное видео принадлежит каналу «» (@freecodecamp). Оно представлено в нашем сообществе исключительно в информационных, научных, образовательных или культурных целях. Наше сообщество не утверждает никаких прав на данное видео. Пожалуйста, поддержите автора, посетив его оригинальный канал. ✉️ Если у вас есть претензии к авторским правам на данное видео, пожалуйста, свяжитесь с нами по почте support@, и мы немедленно удалим его. 📃 Оригинальное описание: Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you’ll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations. ✏️ Course developed by @3CodeCampers ⭐️ Links ⭐️ Here is the link to the GitHub repository to get slides, notebooks and the source code for the final project: Link to the 3CodeCamp YouTube channel: Link to the official documentation: Link to the starter project: Link to the original APOD website: Link to my universe hub: ⭐️ Contents ⭐️ ( General introduction ( Introduction ( Elasticsearch installation process ( Create an index ( Index documents ( Field data types ( Delete documents ( Get documents ( Count documents ( The exists API ( The update API ( The bulk API ( The search API - Part 1 ( The search API - Part 2 ( The search API - Part 3 ( Dense vectors ( Embeddings ( kNN search ( Deep pagination ( Ingest pipelines ( Ingest processors ( Filters in depth ( SQL search API ( Time series data stream ( Analyzers ( The synonyms API ( Common options ( Change the heap size ( Final project - Part 0 ( Final project - Part 1 ( Final project - Part 2 ( Final project - Part 3 ( Final project - Part 4 ( Final project - Part 5 ( Final project - The end ( Conclusion 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: Read hundreds of articles on programming: