Data warehouses play a crucial role in modern enterprises by providing a centralized, structured repository for storing and analyzing large datasets, enabling companies to derive actionable insights and enhance their data-driven decision-making capabilities. These cloud-based relational databases are essential for integrating disparate data sources into a unified format, which facilitates efficient analysis, reporting, and visualization, thus supporting a comprehensive view of business processes. In designing a customer data technology stack, selecting the right data warehouse involves considering factors such as cloud provider preferences, usage patterns, technical expertise within the organization, and performance requirements, with cloud-based solutions often being the most suitable for many enterprises. While data lakes offer similar objectives by housing data in an unstructured manner, they require additional technologies for data processing and analysis. Ultimately, choosing the appropriate data warehouse is pivotal for advancing data maturity and becoming more data-centric, with various solutions available to meet specific organizational needs.