Modern Data Warehousing Strategy
summary
Argues that the data warehouse remains essential while Power Pivot, Data Explorer and Hadoop create new pressures and opportunities; recommends a hybrid SQL‑BI architecture mixing Inmon (normalized warehouse, natural keys) and Kimball (star marts), using a Hadoop or relational staging/mirror area, views to lock contracts, columnar engines for fast queries, and central ETL for complex quality rules while allowing self‑service tools limited, auditable transformations.
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chapters (10)
- 0:00Modern data warehousing intro
- 3:36Threats to classical warehouses
- 13:05Classical warehouse approaches
- 23:52Kimball methodology
- 30:39SQL BI hybrid explained
- 35:57Modern warehouse threats
- 44:55Self-service tools
- 53:07Optimizing data access
- 57:23Big Data in warehousing
- 59:08Warehouse future
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