Describe as many features as you can of the data warehouse schema below. Your description should also cover the attributes, hierarchies, and relationships between tables.
Describe as many features as you can of the data warehouse schema below. Your description should also cover the attributes, hierarchies, and relationships between tables.
Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
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Describe as many features as you can of the data warehouse schema below. Your description should also cover the attributes, hierarchies, and relationships between tables.
![The image depicts a star schema used in data warehousing, comprising several tables with their respective attributes. Below is a detailed explanation of each table and its components:
1. **CHANNEL_DIMENSION**
- **CHANNEL_DIM_ID (PK)**: Primary Key for the channel dimension.
- **CHANNEL**: Represents the name or type of channel.
- **CHANNEL_TYPE**: Specifies the type of channel, possibly categorized by functionality or medium.
- **CHANNEL_CATEGORY**: Further categorization of the channel type.
- **ORIGINAL_CHANNEL_CATEGORY**: The initial categorization before any changes.
2. **CUSTOMER_DIMENSION**
- **CUSTOMER_DIM_ID (PK)**: Primary Key for the customer dimension.
- **CUSTOMER_OLTP_ID**: Identifier for Online Transaction Processing systems.
- **CUSTOMER_FIRST_NAME**: The first name of the customer.
- **CUSTOMER_LAST_NAME**: The last name of the customer.
- **CUSTOMER_TYPE**: Type or classification of the customer.
- **CUSTOMER_STREET**: Customer’s street address.
- **CUSTOMER_ZIPCODE**: Postal code for the customer's address.
- **CUSTOMER_CITY**: City where the customer resides.
- **CUSTOMER_STATE**: State where the customer resides.
- **CUSTOMER_STATUS**: Indicates the status of the customer, possibly related to account status or activity level.
3. **DATE_DIMENSION**
- **DATE_DIM_ID (PK)**: Primary Key for the date dimension.
- **CALENDAR_DAY**: Represents the calendar day.
- **CALENDAR_DAY_NAME**: Name of the day in the week.
- **CALENDAR_WEEK**: Week of the calendar year.
- **CALENDAR_MONTH**: Numerical representation of the month.
- **CALENDAR_MONTH_NAME**: Name of the month.
- **CALENDAR_QUARTER**: Calendar quarter of the year.
- **CALENDAR_YEAR**: Calendar year.
- **FISCAL_YEAR**: Year designated for fiscal reporting.
- **FISCAL_MONTH**: Month within the fiscal year.
- **FISCAL_QUARTER**: Quarter within the fiscal year.
4. **PRODUCT_DIMENSION**
- **PRODUCT_DIM_ID (PK)**: Primary Key for the product dimension.
- **PRODUCT_TYPE**: Type of the](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff7973b3d-4f67-4c75-825c-71f5e1248113%2Fe4358aab-479c-4090-814e-d508034ae5cf%2F46j3yli_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The image depicts a star schema used in data warehousing, comprising several tables with their respective attributes. Below is a detailed explanation of each table and its components:
1. **CHANNEL_DIMENSION**
- **CHANNEL_DIM_ID (PK)**: Primary Key for the channel dimension.
- **CHANNEL**: Represents the name or type of channel.
- **CHANNEL_TYPE**: Specifies the type of channel, possibly categorized by functionality or medium.
- **CHANNEL_CATEGORY**: Further categorization of the channel type.
- **ORIGINAL_CHANNEL_CATEGORY**: The initial categorization before any changes.
2. **CUSTOMER_DIMENSION**
- **CUSTOMER_DIM_ID (PK)**: Primary Key for the customer dimension.
- **CUSTOMER_OLTP_ID**: Identifier for Online Transaction Processing systems.
- **CUSTOMER_FIRST_NAME**: The first name of the customer.
- **CUSTOMER_LAST_NAME**: The last name of the customer.
- **CUSTOMER_TYPE**: Type or classification of the customer.
- **CUSTOMER_STREET**: Customer’s street address.
- **CUSTOMER_ZIPCODE**: Postal code for the customer's address.
- **CUSTOMER_CITY**: City where the customer resides.
- **CUSTOMER_STATE**: State where the customer resides.
- **CUSTOMER_STATUS**: Indicates the status of the customer, possibly related to account status or activity level.
3. **DATE_DIMENSION**
- **DATE_DIM_ID (PK)**: Primary Key for the date dimension.
- **CALENDAR_DAY**: Represents the calendar day.
- **CALENDAR_DAY_NAME**: Name of the day in the week.
- **CALENDAR_WEEK**: Week of the calendar year.
- **CALENDAR_MONTH**: Numerical representation of the month.
- **CALENDAR_MONTH_NAME**: Name of the month.
- **CALENDAR_QUARTER**: Calendar quarter of the year.
- **CALENDAR_YEAR**: Calendar year.
- **FISCAL_YEAR**: Year designated for fiscal reporting.
- **FISCAL_MONTH**: Month within the fiscal year.
- **FISCAL_QUARTER**: Quarter within the fiscal year.
4. **PRODUCT_DIMENSION**
- **PRODUCT_DIM_ID (PK)**: Primary Key for the product dimension.
- **PRODUCT_TYPE**: Type of the
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