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Kimball in the context of the modern data warehouse: what's worth keeping, and what's not

dbt Labs

17K subscribers • 2 videos on Hallway

YouTube
  • Recommended by 2 people: 2 in engineering communities.
  • Presented by Dave Fowler, founder of Chartio
  • An opinion. It argues one side of a question engineers disagree on.

Intermediate. Assumes working knowledge.

53K views5 years ago2 recommendations

Databases and dataSoftware designData engineering and warehousesSoftware architecture

Dave Fowler discusses which aspects of Kimball dimensional modeling remain relevant for modern cloud data warehouses and which are outdated.

Dimensional modeling described in the Kimball Toolbook was in its 3rd edition 15 years ago yet is still the latest in data modeling advice. So much is different in cloud warehouses that many of those best practices are now bad practices. In this video Dave Fowler, the founder of Chartio and author of Cloud Data Management goes over what no longer applies, and what does.

Why it's here

2 people recommend this

What people say. Engineers discuss this talk when debating whether dimensional modeling should be replaced by wide tables.

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u/porcelainsmilein r/dataengineering • Recommends

Kimball in the context of the modern data warehouse: what's worth keeping, and what's not (Dave Fowler, Chartio)

u/morpho4444in r/dataengineering • Recommends

This isn't a new subject but what do you think? Should Dimensional model be replaced with wide tables?
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