~/talk

Modern Data Warehousing Strategy

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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.

AI-written summary · about

  1. 0:00Modern data warehousing intro
  2. 3:36Threats to classical warehouses
  3. 13:05Classical warehouse approaches
  4. 23:52Kimball methodology
  5. 30:39SQL BI hybrid explained
  6. 35:57Modern warehouse threats
  7. 44:55Self-service tools
  8. 53:07Optimizing data access
  9. 57:23Big Data in warehousing
  10. 59:08Warehouse future
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