Why you should use a data warehouse

The text explores the considerations for using a data warehouse, weighing both the potential drawbacks and benefits. It begins by highlighting reasons to avoid a data warehouse, such as when dealing with small data volumes, needing transactional workloads, having sufficient existing solutions, and avoiding unnecessary costs driven by external pressures rather than actual needs. Data warehouses are deemed excessive if data volume is minimal or if operational databases already meet the analytical needs, especially since they can be costly and may suffer from data latency issues without complex setups. On the other hand, it argues that data warehouses are beneficial when multiple genuine use-cases arise that the current systems cannot handle, or when anticipated growth necessitates future-proofing. Benefits include centralized data storage and modeling, relieving operational databases of heavy analytical workloads, establishing a "single source of truth" for consistent data interpretation, and improving data governance. The discussion underscores the importance of aligning the decision to implement a data warehouse with real business needs and consensus among stakeholders to ensure its success.

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