Month: March 2012

Scaling Hadoop – Myth vs. Reality

People use Hadoop for storing, processing and analyzing ever-increasing volumes of data. The question is no longer about whether Hadoop can scale to meet the demand. The question is  now at what point the operational cost of scaling Hadoop exceeds the value realized from the data analysis. How much of the Hadoop scale-out story is reality vs. hype?

Read on so you can separate the myth from the reality. Continue reading “Scaling Hadoop – Myth vs. Reality”