Technology & IT
The rapid growth of the Big Data ecosystem has pushed the frontiers of technology, and our expectations, further than ever thought possible.
A recent study by KPMG revealed that executives do see the value in data and analytics, but 85% face challenges in implementing the right solution to analyze and interpret their existing data. This is the first article in a series of articles aimed at highlighting best practices to overcome the
Introducing Hadoop In the Big data world the sheer volume, velocity and variety of data renders most ordinary technologies ineffective. Thus in order to overcome their helplessness companies like Google and Yahoo! needed to find solutions to manage all the data that their servers were gathering in an efficient, cost
Big data is overwhelmingly powerful, overwhelmingly omnipresent, and most of all, overwhelming to grasp. As such, three factors, three big data waves are currently rolling into our ports. Big data is to be generated, gathered, and aggregated, accumulated, produced, analyzed, and understood at ever increasing speeds. With the ‘internet of