課程簡介
介紹
- 什麼是分析函數?
- 優勢與使用場景
- 常見分析函數概述
基礎分析函數
- ROW_NUMBER()、RANK()、DENSE_RANK()
- 理解PARTITION BY和ORDER BY子句
- 示例與使用場景
統計分析函數
- SUM()、AVG()、MIN()、MAX()
- LEAD()和LAG()
- 使用場景與案例
窗口子句
- 探索WINDOWING子句
- 理解UNBOUNDED、CURRENT ROW和N PRECEDING/FOLLOWING
- 實際應用
高級分析函數
- FIRST_VALUE()和LAST_VALUE()
- PERCENTILE_CONT()和PERCENTILE_DISC()
- 使用場景與比較
使用分析函數的複雜查詢
- 將分析函數與GROUP BY結合
- 嵌套分析函數
- 真實案例
優化分析函數
- 在大數據集中高效使用分析函數
- 分析查詢性能
- 索引策略
故障排除與最佳實踐
- 識別並解決常見問題
- 編寫高效查詢的最佳實踐
- 維護和更新分析函數查詢的技巧
總結與下一步
最低要求
- 具備SQL基礎知識
- 熟悉關係型數據庫
- 具備中級編程經驗,最好是在SQL方面
受衆
- 數據庫管理員
- SQL開發人員
- 數據分析師
客戶評論 (4)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
課程 - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
課程 - QGIS for Geographic Information System
I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.
Mark Firmin - Environment and Climate Change Canada
課程 - Python for Geographic Information System (GIS)
The thing I liked the most about the training was the organization and the location