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storage and compute separation

Consumption Layers 101

By: Shaun Bruno
July 12, 2019

The typical big data infrastructure is a Frankenstein’s monster of legacy hardware, cloud connections, and storage environments. Data exists in different silos, in every location…

“I Got Options” – The Power of Optionality in Enterprise Data Architectures

By: Justin Borgman
July 9, 2019

“I got, I got, I got, I got options” - Pitbull It’s the 1980s and computers are revolutionizing industries of all shapes and sizes.  A database…

How Storage Compute Separation is Changing the Way Enterprises Interact with Their Data

By: Justin Borgman
June 4, 2019

I’m sure you know the difference between storage and compute, and why the separation of these two layers is such a critical piece of an…

Your analysts don’t care where the data lives, neither should you

By: Shaun Bruno
April 30, 2019

In today’s enterprise, data is arguably one of the most valuable assets. With advances in data analytics technology, enterprises can more easily convert enormous amounts…

The Art of Abstraction: the continuing separation of compute and storage for data analytics

By: Andy Ellicott
December 4, 2018

We recently invited 451 Research VP, Matt Aslett to share his thoughts and observations on the practice of separating the storage and computation of analytic…

True Separation of Storage and Compute

By: Shaun Bruno
April 24, 2018

For the last few years, the hot topic in any organization is the separation of storage and compute. With data volumes increasing on a daily…

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