? 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!
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