Скачать или смотреть Data Warehouse Power Trio (Facts, Lineage, Profiling)

The sources provide fundamental educational material concerning data management principles central to data warehousing, using real-world examples to clarify complex terms. One video clearly outlines the categories of data facts and various fact table types, specifically detailing the distinctions among additive, semi-additive, and non-additive facts based on their aggregation limitations. The remaining sources explain critical quality and tracking mechanisms: data lineage traces the complete flow and transformation of data from its origin to its final report destination, supporting auditability and streamlining the debugging process. Furthermore, data profiling is described as the essential initial and ongoing process of analysing data characteristics, quality, and statistical properties to ensure standardisation and build confidence in the dataset before system development begins. Collectively, these explanations underscore the interconnected stages required for successful data integration and migration projects.