InstructionsUsing the data provided in the Ch13_SaleCo; database, solve the following problems.(Hint: In Problems 5–11, use the ROLLUP command.)Below is the Schema for the database:Problem 7What is the SQL command to list the total sales by region and customer, with subtotals by region and a grand total for all sales? Figure P13.7 shows the result of the query. **Figure 13.20: SaleCo Snowflake Schema**This figure illustrates the "SaleCo Snowflake Schema," which is a type of database schema used in data warehousing environments. It visually represents how data is organized and related in multiple tables through a series of relationships.**Tables and Relationships:**1. **DWREGION** - **Primary Key (PK):** REG_ID - **Attributes:** - REG_NAME2. **DWCUSTOMER** - **Primary Key (PK):** CUS_CODE - **Attributes:** - CUS_LNAME - CUS_FNAME - CUS_INITIAL - CUS_STATE - REG_ID - **Foreign Key (FK1):** REG_ID links to DWREGION3. **DWTIME** - **Primary Key (PK):** TM_ID - **Attributes:** - TM_YEAR - TM_MONTH - TM_DAY - TM_QTR4. **DWSALESFACT** - **Primary & Foreign Keys (PK, FK):** - TM_ID (FK2) - CUS_CODE (FK1) - P_CODE (FK3) - **Attributes:** - SALE_UNITS - SALE_PRICE5. **DWVENDOR** - **Primary Key (PK):** V_CODE - **Attributes:** - V_NAME - V_AREACODE - V_STATE6. **DWPRODUCT** - **Primary Key (PK):** P_CODE - **Attributes:** - P_DESCRIPT - P_CATEGORY - V_CODE - **Foreign Key (FK1):** V_CODE links to DWVENDOR**Explanation:**- The schema consists of several tables, each representing a different dimension or fact related to sales. - **DWREGION** and **DWCUSTOMER** are linked through the REG_ID attribute, indicating a relationship between the customer data and regional data.- **DWSALESFACT** serves as a fact table, connecting **DWTIME**, **DWCUSTOMER**, and **DWPRODUCT** to provide detailed sales data.- **DWPRODUCT** is linked to **DWVENDOR** through the V_CODE.- Each table has attributes that provide specific details relevant to its ### Data Table ExplanationThe table represents sales data with three columns: `REG_ID`, `CUS_CODE`, and `TOTSALES`.#### Columns:1. **REG_ID**: This stands for the region identifier. It indicates the specific region associated with each sales entry. 2. **CUS_CODE**: This is the customer code, providing a unique identifier for each customer. 3. **TOTSALES**: This column displays the total sales amount for each record, measured in monetary units.#### Observations:- The table includes several rows where `CUS_CODE` or `REG_ID` is `NULL`, denoting missing data for those fields.- The row highlighted in red draws attention, potentially indicating a specific point of interest or anomaly.- The note on the side, "Some records omitted in output shown," suggests that not all data entries are displayed in the current view.This table can be used for analyzing sales distribution across different regions and customers, helping to identify trends and areas for strategic adjustments.

We will join DWDAYSALESFACT and DWCUSTOMER tables to populate Total sales and group the result by…

Answered: Instructions Using the data provided…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Instructions

Using the data provided in the Ch13_SaleCo; database, solve the following problems.
(Hint: In Problems 5–11, use the ROLLUP command.)

Below is the Schema for the database:

Problem 7

What is the SQL command to list the total sales by region and customer, with subtotals by region and a grand total for all sales? Figure P13.7 shows the result of the query.

**Figure 13.20: SaleCo Snowflake Schema**

This figure illustrates the "SaleCo Snowflake Schema," which is a type of database schema used in data warehousing environments. It visually represents how data is organized and related in multiple tables through a series of relationships.

**Tables and Relationships:**

1. **DWREGION**
- **Primary Key (PK):** REG_ID
- **Attributes:**
- REG_NAME

2. **DWCUSTOMER**
- **Primary Key (PK):** CUS_CODE
- **Attributes:**
- CUS_LNAME
- CUS_FNAME
- CUS_INITIAL
- CUS_STATE
- REG_ID
- **Foreign Key (FK1):** REG_ID links to DWREGION

3. **DWTIME**
- **Primary Key (PK):** TM_ID
- **Attributes:**
- TM_YEAR
- TM_MONTH
- TM_DAY
- TM_QTR

4. **DWSALESFACT**
- **Primary & Foreign Keys (PK, FK):**
- TM_ID (FK2)
- CUS_CODE (FK1)
- P_CODE (FK3)
- **Attributes:**
- SALE_UNITS
- SALE_PRICE

5. **DWVENDOR**
- **Primary Key (PK):** V_CODE
- **Attributes:**
- V_NAME
- V_AREACODE
- V_STATE

6. **DWPRODUCT**
- **Primary Key (PK):** P_CODE
- **Attributes:**
- P_DESCRIPT
- P_CATEGORY
- V_CODE
- **Foreign Key (FK1):** V_CODE links to DWVENDOR

**Explanation:**

- The schema consists of several tables, each representing a different dimension or fact related to sales.
- **DWREGION** and **DWCUSTOMER** are linked through the REG_ID attribute, indicating a relationship between the customer data and regional data.
- **DWSALESFACT** serves as a fact table, connecting **DWTIME**, **DWCUSTOMER**, and **DWPRODUCT** to provide detailed sales data.
- **DWPRODUCT** is linked to **DWVENDOR** through the V_CODE.
- Each table has attributes that provide specific details relevant to its

### Data Table Explanation

The table represents sales data with three columns: `REG_ID`, `CUS_CODE`, and `TOTSALES`.

#### Columns:

1. **REG_ID**: This stands for the region identifier. It indicates the specific region associated with each sales entry.

2. **CUS_CODE**: This is the customer code, providing a unique identifier for each customer.

3. **TOTSALES**: This column displays the total sales amount for each record, measured in monetary units.

#### Observations:

- The table includes several rows where `CUS_CODE` or `REG_ID` is `NULL`, denoting missing data for those fields.
- The row highlighted in red draws attention, potentially indicating a specific point of interest or anomaly.
- The note on the side, "Some records omitted in output shown," suggests that not all data entries are displayed in the current view.

This table can be used for analyzing sales distribution across different regions and customers, helping to identify trends and areas for strategic adjustments.

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