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SmartData Collective > Big Data > Data Warehousing > Data warehouse architecture that’s too narrowly focused
Business IntelligenceData Warehousing

Data warehouse architecture that’s too narrowly focused

RickSherman
RickSherman
1 Min Read
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In my DM Review columns, “The Accidental Architecture” and “Recovering from the Accidental Architecture,” I discussed whether people understood the “why” of best practices, such as dimensional modeling and hub-and-spoke architecture. In “Don’t Stop at How, Learn Why,” I discussed…

Dmreview_11

In my DM Review columns, “The Accidental Architecture” and “Recovering from the Accidental Architecture,”
I discussed whether people understood the “why” of best practices, such
as dimensional modeling and hub-and-spoke architecture. In “Don’t Stop at How, Learn Why,”
I discussed the most common problems when people are too hub myopic,
cloning their source systems or assuming the hub will support all
reporting and analytic needs.

More Read

So You Think You’re Ready for a Data Warehouse Appliance, Part 2
The confluence of BI and change management
Big Data Is Changing the Whole Equation for Business
Here’s how decisions and rules relate (and how to manage them)
CRM Paradigm Shift

There are also
dangers with being too spoke-centric (with data marts or cubes) and
failing to establish the hub, or data warehouse (DW), as the enterprise
data backbone.

>>> Read the rest of my article "Too Narrowly Focused" on the DM Review website.


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