In SQL, the keyword used for aggregating data in a SELECT statement is SUM. It is used to calculate the sum of values in a particular column, providing a way to aggregate data and obtain meaningful insights from the dataset.

The Authorization model is designed to prevent unauthorized users from accessing or modifying data in a database. It involves defining and managing user privileges and permissions to ensure that only authorized users can perform specific actions on the database.

Data Marts typically have larger data volumes compared to the broader-scoped Data Warehouses. However, Data Marts have narrower specificity, focusing on a subset of data relevant to a specific business unit or department. This allows for more targeted and efficient analysis.

The process of decomposing a relation into smaller relations that meet normalization requirements is known as decomposition. It involves breaking down a table into smaller, more manageable tables to achieve higher normal forms and improve data integrity.

One advantage of using a Key-Value Store is its ability to handle write-intensive workloads efficiently. Key-Value Stores are optimized for simple read and write operations, making them well-suited for scenarios where write operations are frequent and need to be executed quickly.

In a Star Schema, the fact table is surrounded by Dimension tables. Dimension tables contain descriptive attributes and provide context to the measurements stored in the fact table. This design enhances query performance by simplifying joins and optimizing data retrieval for analytical queries.

An Inheritance relationship allows a single entity to inherit properties from multiple superclasses. It is a key concept in object-oriented data modeling, enabling the creation of a more flexible and reusable data model.

The SELECT statement in SQL is used to retrieve data from a database. It allows you to specify the columns you want to retrieve and the conditions for selecting specific rows. This statement is fundamental for querying and extracting information from a database.

MySQL Workbench has a built-in support for creating Entity-Relationship Diagrams (ERDs), which is an advantage over Microsoft Visio for database design purposes. ERDs are essential for visualizing and planning the relationships between entities in a database.

Dimension tables typically contain categorical data that provides context to the metrics in the fact table. Categorical data helps in categorizing and organizing information, allowing for meaningful analysis and reporting. Dimension tables are linked to the fact table through keys, creating a relationship between descriptive information and measurable metrics.