Data warehouse versus data marts

Most data warehousing initiatives fail (mainly because this level of standardization slows down an agency/company enough that the project gets derailed; boiling the ocean phenomenon).

Avoid building a Data Warehouse right away, but approach it in a slightly different manner. 

Build individual data marts instead; each department gets to own its own data mart. These individual data marts would still follow a common standardized technical architecture; and would be able to talk to each other.

For e.g. definitions and metadata in each data mart should follow the same convention.

This paves the way for a final data warehouse – which could simply be a loosely coupled conglomerate of these independent data marts.

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Specializing in high volume web and cloud application architecture, Anuj Varma’s customer base includes Fortune 100 companies (, British Petroleum, Schlumberger).

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