As my readers are aware I have been heavily involved in the Big Data space for the last two years. This time has been an amazing and transformative personal experience as I have been relentlessly traveling the globe advising global banking leaders across all continents.

Thus, it should come as no surprise that the recent KDnuggets article somewhat provocatively titled – Hadoop is Failing – Why, by George Hill – managed get me disagreeing right from the get go .

Future of hadoop 2020

The author, though well meaning from what I can tell, bases the article on several unfounded assumptions. Before we delve into those, let us consider the following background.

The onset of Digital Architectures in enterprise businesses implies the ability to drive continuous online interactions with global consumers/customers/clients or patients. The goal is not just provide engaging visualization but also to personalize services customers care about – while working across multiple channels/modes of interaction. Mobile applications first began forcing the need for enterprise applications to support multiple channels of interaction with their consumers. For example Banking now requires an ability to engage consumers in a seamless experience across an average of four to five channels – Mobile, eBanking, Call Center, Kiosk etc. Healthcare is a close second where caregivers expect patient, medication & disease data at their fingertips with a few finger swipes on an iPad app.Big Data technology evolved to overcome the limitations of existing data approaches (RDBMS & EDW) to keep up data architecture & analysis challenges inherent in the Digital application stack.