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All About SQL Aggregations | SQL Advance | Zero to Hero

Ankit Bansal 71,906 lượt xem 2 years ago
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In this video we will discuss all flavors of aggregation in SQL. There are many advance concepts wrt aggregations and we will cover everything possible. Do watch this video till end to master SQL aggregation.

Most Asked Join Based Interview Question:
https://youtu.be/xR87ctOgpAE

Solving 4 Tricky SQL Problems:
https://youtu.be/Ck1gQrlS5pQ

Data Analyst Spotify Case Study:
https://youtu.be/-YdAIMjHZrM

Top 10 SQL interview Questions:
https://youtu.be/Iv9qBz-cyVA

Interview Question based on FULL OUTER JOIN:
https://youtu.be/KQfWd6V3IB8

Playlist to master SQL :
https://youtube.com/playlist?list=PLBTZqjSKn0IeKBQDjLmzisazhqQy4iGkb

Rank, Dense_Rank and Row_Number:
https://youtu.be/xMWEVFC4FOk

DDL and DML:
CREATE TABLE [dbo].[int_orders](
[order_number] [int] NOT NULL,
[order_date] [date] NOT NULL,
[cust_id] [int] NOT NULL,
[salesperson_id] [int] NOT NULL,
[amount] [float] NOT NULL
) ON [PRIMARY]
GO
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (30, CAST(N'1995-07-14' AS Date), 9, 1, 460)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (10, CAST(N'1996-08-02' AS Date), 4, 2, 540)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (40, CAST(N'1998-01-29' AS Date), 7, 2, 2400)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (50, CAST(N'1998-02-03' AS Date), 6, 7, 600)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (60, CAST(N'1998-03-02' AS Date), 6, 7, 720)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (70, CAST(N'1998-05-06' AS Date), 9, 7, 150)
INSERT [dbo].[int_orders] ([order_number], [order_date], [cust_id], [salesperson_id], [amount]) VALUES (20, CAST(N'1999-01-30' AS Date), 4, 8, 1800)


#sql #dataengineer #aggregations

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