πŸš€ The Algorithm Mastery Series ( part 8 )

πŸ“‘ Real-Time Streaming Algorithms: Processing Infinite Data Part 7: When Data Never Stops Flowing "In a cache, you store data. In a stream, data flows through youβ€”and it never stops." After masteri...

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Source: dev.to

πŸ“‘ Real-Time Streaming Algorithms: Processing Infinite Data Part 7: When Data Never Stops Flowing "In a cache, you store data. In a stream, data flows through youβ€”and it never stops." After mastering time-space trade-offs, algorithm design, graphs, production systems, database internals, and caching, you're ready for the ultimate challenge: algorithms that process infinite data in real-time. 🌍 The Streaming Reality The Fundamental Shift: Traditional (Batch Processing): 1. Collect all data 2. Store in database 3. Run query 4. Get result Time: Hours to days Streaming (Real-Time Processing): 1. Data arrives continuously 2. Process immediately 3. Results update live Time: Milliseconds Example - Twitter Trending Topics: β”œβ”€ 500M tweets per day β”œβ”€ 6,000 tweets per second β”œβ”€ Question: "What's trending RIGHT NOW?" β”œβ”€ Can't wait hours to analyze └─ Must update every second! Ask yourself: "What's the hidden cost?" Batch processing: β”œβ”€ Time: O(n) to process all data β”œβ”€ Space: O(n) to store all da

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