Data modelling is like creating a blueprint for organizing and structuring data in a way that makes sense for a specific purpose. It involves defining how data is stored, accessed, and related to other pieces of information.
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A star schema is a popular data modelling technique used in data warehousing. It organizes data into a central "fact" table surrounded by "dimension" tables, resembling a star shape when viewed in a graphical representation. 

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Snowflake schema is similar to the star schema. However, in a snowflake schema, dimension tables are normalized, meaning they are broken down into multiple related tables.

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Data Vault 2.0 is a modeling technique designed for building scalable and flexible data warehouses. It follows a hub-and-spoke architecture that separates business keys from descriptive attributes, providing a robust foundation for integrating disparate data sources. 

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Sample data model design using star schema approach for a food delivery application. This data model is designed for a food delivery application, supporting features such as incentive management for drivers, order tracking, and customer profiling.

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Sample data model design using Data Vault 2.0 approach for a simple hotel reservation system. The hotel reservation data model facilitates hotel management, reservation tracking, and customer information storage.

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