As more and more companies use Hadoop to handle big data, anticipation for forthcoming Version 2.0 grows.
The social networking giant stores over 100 PB of data in Hadoop clusters.
Deploying, configuring and maintaining Hadoop clusters is challenging and time-intensive, but VMware aims to change that with a new open source project that virtualizes the Hadoop cluster and makes it ready for the cloud.
You may not think you have petabytes of data worth analyzing, but you will, if you don't already. We break down the 5 things CIOs need to know, now.
How to smartly harvest data by leveraging the new trends in data analytics and help leaders make effective decisions cutting across various business functions.
The most important aspect of scale-out NAS from the perspective of managing big data is that you can add storage rapidly and cheaply.
The big data revolution is creating a new breed of business-IT jobs -- and threatening to destabilize dyed-in-the-wool IT careers
Managing the petabyte-scale and larger data stores that are a fact of life with Big Data is a different beast than managing traditional large-scale data infrastructures. Online photo site Shutterfly--which manages more than 30 petabytes of data--shares its strategy for taming the storage beast.
Hadoop shouldn't replace your current data infrastructure, only augment it. Here's when it makes sense, when it doesn't, and what you can expect to pay.