Tag: data storage

Jim Harris 0
The psych to silo and the right to copy

In my three previous posts, I pondered whether unlimited data could limit data silos (i.e., whether offering users the enterprise data management equivalent of unlimited data streaming could curb their enthusiasm for creating data silos), or if streaming past the limits of unlimited data could create more data silos if users became frustrated with the practical

Jim Harris 0
Syncing versus streaming

In my two previous posts, I pondered whether unlimited data could limit data silos (i.e., whether offering users the enterprise data management equivalent of unlimited data streaming could curb their enthusiasm for creating data silos) or if streaming past the limits of unlimited data could create more data silos if users

Jim Harris 0
Streaming past the limits of unlimited data

My previous post pondered whether unlimited data could limit data silos, which was inspired by an extended disruption in the internet service provided by my local cable company. This provided me the opportunity to see just how unlimited the unlimited data plan on my smartphone really was. Ironically, shortly after my

Jim Harris 2
Could unlimited data limit data silos?

Some strong storms recently caused an extended disruption in the internet service provided by my local cable company, which gave me an opportunity to test the reliability of my smartphone's mobile broadband connectivity as well as see just how unlimited my unlimited data plan really is. After successfully passing both aspects of

Mark Troester 9
Big data defined: It's more than Hadoop

Volume, Variety, Velocity – how many times have you heard that lately? The “3 V’s” are commonly used to describe big data by various vendors and analysts. Forrester extends this by introducing “Variability” as a 4th V – this addresses the fact that you need to design for agility due

Mike Ames 21
SAS, Hadoop and big data

The term “big data” is all the rage right now, however the term “big” is relative. At SAS we have been called on to do “big data” projects and more importantly “big analytics” projects for many years now. In fact, we are the pioneers of analytics on “big data.” There is