The term “data gravity” was coined in 2010 by a software engineer named Dave McCrory to describe the tendency of data and applications to be attracted to one another. The metaphor explains that as datasets grow from gigabytes into terabytes and eventually petabytes, they become harder to move from the data center. As the mass of the data expands it draws in associated applications and services eventually making any move from the data center into the cloud or a more useful location increasingly difficult.
Data gravity can hinder digital transformation by preventing enterprises from maturing their data analytics practices. Generally, data analytics applications and platforms reside in their own hardware/software stacks and the data they utilize rest in separate direct-attached storage devices. When there are massive amounts of data stored in different storage systems it can become challenging, expensive and risky to move the data to your analytics clusters.
So how can organizations get around the gravitational pull of large datasets? By designing your architecture around a platform that enables the collection and integration of data from multiple sources into a single destination.
The Dell Isilon Scale-Out Network Attached Storage will allow you to tackle data gravity with efficiency and massive scalability.
Interested in learning more? Then speak with us today.
Comments are closed.