Andrew Bancroft • 2/21/2018

Winning with Dimensional Models in the Age of Big Data

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This article argues that dimensional modeling is still highly relevant in the age of big data, countering the notion that it is outdated. It highlights that business users prefer self-service analytics with data in context, not complex data wrangling. The author presents five key reasons: dimensional models provide data in context for robust analysis, data cleansing is unavoidable, schemas are necessary for usability, and the approach benefits both IT and business users by enabling easier decision-making without technical hurdles.

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#Big Data #Data Warehousing #Dimensional Modeling
Winning with Dimensional Models in the Age of Big Data

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