SQL Ranking Window Functions | ROW_NUMBER, RANK, DENSE_RANK, NTILE, CUME_DIST, PERCENT_RANK

Data with Baraa
Data with Baraa
1.9 هزار بار بازدید - 2 ماه پیش - In Part 3, we'll dive
In Part 3, we'll dive into 6 SQL rank window functions, focusing on ROW_NUMBER, RANK, DENSE_RANK, NTILE, CUME_DIST, and PERCENT_RANK. We'll explore the concept behind these functions, their syntax, and important use cases from real-life projects.
We will cover very important analytical use cases: Top-N Analysis, Bottom-N Analysis, Identify Duplicates, Assign Unique IDs, Data Segmentation, and Data Distribution Analysis.
SQL ranking window functions provide powerful tools to analyze and understand data distributions, rankings, and proportions within SQL queries.

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⏱️ TIMESTAMPS ⏱️
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00:00 Intro
00:00:28 What are Window Ranking Functions?
00:05:48 ROW_NUMBER
00:10:13 RANK
00:14:18 DENSE_RANK
00:18:42 ROW_NUMBER vs RANK vs DENSE_RANK
00:19:45 ROW_NUMBER: TOP-N Analysis
00:23:24 ROW_NUMBER: Bottom-N Analysis
00:27:00 ROW_NUMBER: Assign Unique IDs
00:29:47 ROW_NUMBER: Identify Duplicates
00:35:21 NTILE
00:41:41 NTILE: Data Segmentation
00:45:35 NTILE: Equalizing Loads
00:49:02 Intro Percentage Based Ranking
00:50:10 CUME_DIST
00:53:52 PERCENT_RANK
01:01:40 Summary

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2 ماه پیش در تاریخ 1403/02/25 منتشر شده است.
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