This Data Engineering Skill is Worth $50K/YR

Unlock the power of Big O Notation and see how understanding algorithmic complexity can transform your software engineering career. This video breaks down Big O in simple terms, shows real-world cost scenarios, and gives you actionable steps to level up your technical skills and salary.

⏰ Chapters:
00:00 – Introduction: Why Big O Matters for Your Career
00:44 – The $50K Salary Difference & Promotion Impact
01:03 – What is Big O Notation?
01:10 – Common Complexity Classes (O(1), O(log n), O(n), O(n²))
01:43 – Cost Curves & Real-World Impact
02:14 – Nested Loop Disaster (SQL Example)
02:27 – Refactoring for Performance
02:41 – Real-World Case Study: Snowflake Query Optimization
03:53 – Double Whammy: Business Impact
04:18 – Bad vs. Good SQL (N² vs. N)
04:42 – DataFrame Disaster (Python Example)
04:58 – Refactoring Python for Scale
05:18 – Enterprise Case Study: Million-Row ETL
05:53 – Action Plan: How to Master Big O
06:32 – Key Takeaways & Career Advice
07:00 – Outro & Next Steps

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