Does Data Always Need to End Up in a Centralized Repository?

This is an age-old question, and one that has been asked many times over the years.

As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations typically face when attempting to centralize data, such as the growing proliferation of data copies, which also causes risk, from a data governance perspective and cost from a storage perspective. The idea of trying to keep all of the data in one location might sound appealing, but it just does not make sense.

But you may ask why exactly that not make sense. If all of the data were in one location, say a data lake, then surely our lives would be easier. We would benefit from a simplified IT infrastructure, we would be able to access data more quickly, and we would always know where our data is.

Surely this would be a good thing, right?

Read more in Originally published on April 7, 2022.




We do #DataVirtualization We care about #AgileBI, #BigData #Analytics, #Dataservices, #DataManagement, Logical #DataWarehouse Web, #SaaS and #Cloud integration.

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We do #DataVirtualization We care about #AgileBI, #BigData #Analytics, #Dataservices, #DataManagement, Logical #DataWarehouse Web, #SaaS and #Cloud integration.

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