Enterprise IT Context for the CTO

Bob Gourley

Subscribe to Bob Gourley: eMailAlertsEmail Alerts
Get Bob Gourley: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Related Topics: Government News, CIO/CTO Update, Big Data on Ulitzer

Blog Post

The Fourth Dimension of Big Data: Spread

Spread is just what it sounds like: it is the distribution of data

Big Data is often described by the three drivers (dimensions) of: volume, velocity and variety. But Stefan Andreasen, Founder and CTO of Kapow has alerted us to the fourth – spread.

Volume describes the overall AMOUNT of Big Data. It almost goes without saying, that for data to be big, there must be a lot of it. Velocity describes the ability to interact with that data at high rates of speed. Variety has long been used to express the many different types and formats of data. Volume, Velocity and Variety of data are important domains of the modern data scientist.

Spread is another key dimension. Spread is just what it sounds like. It is the distribution of data. This can be incredibly widespread in terms of geography and data store and also across organizations and architectures.

Data needed for analysis is almost always spread all over the place. Creating access to this is an emerging aspect of modern data architectures. Kapow has made this a key driver of their solutions. Their extraction capabilities mitigate the effects of spread, enabling integration for mission support.

Kapow’s Katalyst Application Integration Platform for Big Data has the ability to turn spread into an advantage. For more on this see Stefan’s article on The Fourth Dimension of Big Data Nobody Writes About.

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.