B: Dimensional Modeling (Kimball): This approach organizes data into fact and dimension tables. It's widely used in data warehousing to optimize for query performance and ease of understanding for end-users. Snowflake supports this model well due to its columnar storage and performance optimization features. D: Inmon/3NF: This model, proposed by Bill Inmon, focuses on a normalized structure (Third Normal Form) which is more flexible and reduces redundancy. Snowflake’s capabilities support the normalized model, ensuring data integrity and reducing storage costs. F: Data Vault: This modeling approach is designed to provide long-term historical storage of data from multiple operational systems. It supports agile and scalable data integration and changes. Snowflake’s support for semi-structured data and its efficient storage makes it a good fit for the Data Vault methodology.