Author: Mike Matchett

Hyperconverged Storage Evolves – Or is it Pivoting When it Comes to Pivot3?

(Excerpt from original post on the Taneja Group News Blog)

Pivot3 recently acquired NexGen (Mar 2016). Many folks have been wondering what they are doing. Pivot3 has made a name in the surveillance/video vertical with bulletproof hyperconvergence based on highly …

Server Side Is Where It’s At – Leveraging Server Resources For Performance

(Excerpt from original post on the Taneja Group News Blog)

If you want performance, especially in IO, you have to bring it to where the compute is happening. We’ve recently seen Datrium launch a smart “split” array solution in which …

Unifying Big Data Through Virtualized Data Services – Iguaz.io Rewrites the Storage Stack

(Excerpt from original post on the Taneja Group News Blog)

One of the more interesting new companies to arrive on the big data storage scene is iguaz.io. The iguaz.io team has designed a whole new, purpose-built storage stack that can …

Playing with Neo4j version 3.0

I’ve been playing again with Neo4j now that v3 is out. And hacking through some ruby scripts to load some interesting data I have laying around (e.g. the database for this website which I’m mainly modeling as “(posts)<-(tags); (posts:articles)<-(publisher)”).

For …

Delving into neural networks and deep learning

An IT industry analyst article published by SearchITOperations.


article_Delving-into-neural-networks-and-deep-learning
Deep learning and neural networks will play a big role in the future of everything from data center management to application development. But are these two technologies actually new?

Mike Matchett

Machine …

Agile Big Data Clusters: DriveScale Enables Bare Metal Cloud

(Excerpt from original post on the Taneja Group News Blog)

We’ve been writing recently about the hot, potentially inevitable, trend, towards a dense IT infrastructure in which components like CPU cores and disks are not only commoditized, but deployed in …