SQL Learning Journey – Day 18 | Window Functions Explained
In Day 18 of my SQL Learning Journey, I explored Window Functions in SQL, one of the most powerful concepts used in real-world data analysis.
Window functions allow us to perform calculations across a set of rows without losing individual row details, making them essential for analytical queries.
🔹 Key Concepts Learned
✔ Window Functions
Perform calculations across multiple rows while keeping each row intact
✔ PARTITION BY vs GROUP BY
• GROUP BY → Aggregates data and reduces rows
• PARTITION BY → Divides data into partitions without reducing rows
✔ Ranking Functions
• RANK() → Skips ranks when there are ties
• DENSE_RANK() → No gaps in ranking
• ROW_NUMBER() → Assigns unique sequential numbers
🔹 Real-World Use Cases
📊 Leaderboards
📊 Top-N Analysis
📊 Performance comparison within categories
💡 Key Takeaway
Window functions help us analyze data deeply without losing row-level information, making them a must-have skill for every Data Analyst.
Continuing to build my SQL & Data Analytics skills step by step 🚀
#SQL #SQLLearning #DataAnalytics #WindowFunctions #LearningJourney #DataAnalyst #TechSkills #CareerGrowth
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