How to Scale Like Google: Finding 1 User in a Billion Made Simple!

🌟 How to Find 1 User in a Billion - Bloom Filters Demystified

Finding a single user in a billion might sound impossible, but there's one ingenious algorithm that makes it lightning fast: Bloom Filters. In this video, we break down how Bloom Filters work and why they’re a game-changer in system design.

🔍 What You’ll Learn:

What is a Bloom Filter and how does it work?
Setup a Bloom Filters to use with a Postgres Database

💡 Why Watch This?
Bloom Filters are a must-know concept for system design interviews and real-world engineering challenges. They’re widely used in databases, caching, and networking for high-performance applications.

📚 Resources Mentioned in the Video:
Code: https://github.com/dileshtanna/bloom-...
Redis Docs: https://redis.io/docs/latest/develop/...

🔥 This algorithm could change how you think about scalability. Watch now and take your system design skills to the next level!

📌 Don’t forget to like, comment, and subscribe for more algorithm deep dives and system design insights!

Timestamps:
00:00 Intro
01:03 Typical DB query
02:20 Bloom Filters explained
06:30 Bloom Filters implementation in the real world
09:25 Code Walkthrough
11:56 Using Bloom Filters with Postgres
27:55 Outro

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