Notes on doing data without the copies.
We write about the problems behind fragmented enterprise data — and the architectural choices that make live, governed access possible.
Further reading
4 min read
Data virtualization as a solution — Part 1: the challenges of mixed IT landscapes
Why combining data from different systems is hard, and how a virtual reference to the source beats copying it.
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Data virtualization as a solution — Part 2: the hidden cost of copying data
Storage is the cheapest part. Governance, infrastructure and load-process maintenance are where redundancy really costs.
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Data virtualization as a solution — Part 3: time pressure and capacity bottlenecks
Separating data storage from data use lets IT and the business each do what they do best — and removes the implementation queue.
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Data virtualization as a solution — Part 4: virtual data modeling
Keeping the link between data and its source enables modeling strategies that copying makes impossible.
Read articleWhat we're writing about
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