The ABCs of Big Data Storage Solutions
‘Big Data’… it’s a term that we’ve heard thrown around IT (and non-IT) circles now for the last couple of years. But what is it? Here’s what ZDNet has to offer:
"Big Data is about liberating data that is large in volume, broad in variety and high in velocity from multiple sources in order to create efficiencies, develop new products and be more competitive. Forrester puts it succinctly in saying that big data encompasses "techniques and technologies that make capturing value from data at an extreme scale economical".
The data storage solutions of yesterday can’t keep up with the growth in data, resulting in infrastructure cracks due in part to three main areas:
1. The data complexity
2. Speed at which data is coming into the infrastructure
3. The sheer volume of data
So how does an organization plan for Big Data storage solutions that work? One of our technology partners, NetApp, breaks the solution set for managing Big Data into three main areas – The ABCs of Big Data – each of which has its own infrastructure requirements. By examining each area, you can better plan your IT needs.
1. Analytics – Turning large data sets into something that will help you make informed business decisions is at the heart of Big Data. You’ll need a robust and efficient data analytics solution for turning out high-quality information.
2. Bandwidth – To perform these analyses for maximum competitiveness, you’ll need a good amount of bandwidth. Otherwise, your workloads will simply take too long to make your analytics insightful.
3. Content – There’s a lot of it, so you’ll need a solution that is scalable. You’ll also want to consider how your content is structured or tiered so that the content most likely to be used is available when you need it, but ultimately it’s all available.
Focusing on these three areas – The ABCs of Big Data – you’ll be in a position to better build robust data storage solutions that are good fits for your organization.