WHAT NO ONE TAUGHT YOU ABOUT SMART DATABASE SEARCHES!
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Hey everyone! Renato Augusto here again, and this time to teach you one of the most important technologies when it comes to building systems that need fast, scalable, and intelligent searches within relational databases.
This technology is called Full-Text Search, and it's used by many modern systems to perform high-performance, relevant, and precise text searches, replacing the inappropriate use of the LIKE operator in many scenarios.
In this video, you'll understand how everything works behind the scenes, from the limitations of the LIKE operator, through tokenization, inverted indexes, stopwords, stemming, relevance ranking, to the practical implementation of Full-Text Search in MySQL and PostgreSQL.
🚀 What you will learn in this video: WHAT NO ONE TAUGHT YOU ABOUT INTELLIGENT DATABASE SEARCHES!
✅ What is Full-Text Search?
✅ Why the LIKE operator doesn't scale for text searches
✅ How an inverted index works
✅ How text tokenization happens
✅ What are Stopwords and Stemming?
✅ How search relevance ranking works
✅ Differences between LIKE and Full-Text Search
✅ How to create Full-Text indexes in MySQL and PostgreSQL
✅ How Full-Text Search works under the hood
✅ How databases find results in milliseconds
✅ EXPLAIN ANALYZE applied to text searches
✅ Use cases, advantages, and limitations of Full-Text Search
🎯 Who should watch?
👨💻 Backend and full-stack programmers who work with databases
📚 Developers who want to understand architecture beyond CRUD
💼 Software engineers and architects who deal with performance and scalability
🗄️ Professionals who work with MySQL, PostgreSQL, SQL Server, or other relational databases
🚀 Developers interested in SQL query optimization, search engines, and System Design
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