A multivalued attribute in database modeling is an attribute that can have multiple values for each entity. This concept is used to represent situations where an entity can have multiple values for a specific attribute, without creating a separate entity for each value.

Database tuning involves adjusting the physical design and configuration parameters of a database to optimize its performance. This includes optimizing queries, indexing, and other settings to ensure efficient data retrieval and processing. Tuning is an ongoing process to adapt the database to changing requirements and workload.

A Data Mart typically focuses on a specific functional area. Unlike a Data Warehouse, which covers the entire organization, a Data Mart is designed for a particular business unit or department's specific needs, providing more targeted insights.

Horizontal data partitioning involves dividing a table into rows based on a condition, allowing for efficient storage and retrieval of specific subsets of data. Vertical partitioning, on the other hand, involves dividing a table into columns, typically based on the frequency of access, reducing I/O overhead.

A Document Store would be ideal for an e-commerce application with varying product attributes. Document stores allow flexible and dynamic schema design, making it easy to manage diverse product information without a fixed schema.

Denormalization in conceptual schema design may improve read performance by reducing the need for joins, but it can impact write performance due to increased redundancy. It's a trade-off between read and write efficiency.

MySQL Workbench facilitates database design by providing a graphical interface. Users can visually create and modify database structures, making it easier to understand and manage the database schema. It also includes tools for running SQL queries, but its primary strength lies in visual design.

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.