Slowly Changing Dimensions (SCD) are essential for maintaining historical accuracy in data systems where context evolves over time. This in-depth guide explores all SCD types, their engineering trade-offs, and practical strategies for designing dimensional data that preserves meaning — not just metrics.

A comparison of AWS, Google Cloud, and Azure for data platforms — from storage and processing to analytics, governance, and MLOps. How each shapes architecture, operations, and long-term flexibility.