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🧪 FREE LAB ACCESS: https://kode.wiki/4sB2YMO SQL is DEAD for relationship data! Here's why Facebook, LinkedIn, and Uber switched to Knowledge Graphs (and how YOU can master it in 15 minutes!) Facebook has 3 billion users with trillions of connections. SQL would COLLAPSE trying to find "friends of friends who like similar pages." But Knowledge Graphs? It's a simple 2-hop query that runs in milliseconds. In this video, you will learn: 🎬 How to build a Netflix-style movie recommender 🔥 Why graph databases are 1000x faster for relationship queries 💡 The exact database structure LinkedIn uses for job recommendations 🛠️ Hands-on coding with Neo4j and Python You'll create a complete movie knowledge graph connecting actors, directors, and films - then query it to find recommendations just like streaming platforms do! ⏰ VIDEO CHAPTERS: 00:00 - The Facebook Problem: Why SQL Failed 01:10 - What is a Knowledge Graph? 03:06 - SQL vs Graph Database Showdown 03:56 - Setting Up Your Free Neo4j Lab 05:55 - Task 1 - Connecting to Neo4j database 06:21 - Task 2 - Create your first node 07:39 - Task 3 - Creating Relationships 08:41 - Task 4 - Add Director & Query 09:57 - Task 5 - Scale it up with bulk import 11:27 - Task 6 - Recommendation Engine 14:15 - Pro Tips & Best Practices Stop wasting time with complex SQL joins! Learn the database technology powering AI systems, social networks, and modern web applications. 👇 Start the FREE lab now: https://kode.wiki/4sB2YMO Follow along with zero installation required! #knowledgegraph #sql #movierecommendation #socialnetworks #Neo4jTutorial #GraphDatabase #DatabaseDesign #Python #DataEngineering
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