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…
