Data Warehouse Foundational systems are designed to store and organize large volumes of data, whether raw or processed. These architectures serve as the base layer for analytics and data engineering functions. A Data Lake stores raw data in its native format, accommodating structured, semi-structured, and unstructured types.

A Data Warehouse is a highly structured repository tailored for analysis and reporting. The Data Lakehouse integrates the flexible storage capabilities of data lakes with the structured processing strengths of data warehouses. Lastly, Data Modeling involves defining the structure and relationships of data within a system, ensuring it is organized and accessible for downstream use.