Posted by: Bharath Hemachandran | November 09, 2016
Imagine an app that fails. Chances are you are going to get your test engineer to spend hours trying to document the environment in which the app failed and figure out what went wrong before identifying a fix.
Posted by: Bharath Hemachandran | December 21, 2015
Financial institutions and retailers are adopting Big Data analytics to generate greater business intelligence and gain competitive advantage. The objective is to provide real-time experience to customers. However, except Google and Amazon, most companies are yet to see the daylight of Big Data analytics success.
Posted by: Bharath Hemachandran | August 06, 2015
In my earlier post, I covered the basics of ensuring a successful big data project. Many firms have already invested a lot of money and effort into getting their big data projects up and running. Although some are successful, most of the current implementations are facing numerous issues around data and project related issues.
Posted by: Bharath Hemachandran | June 09, 2015
The term 'Big Data' is one of the most misunderstood terms in the IT world today. As the popular saying goes – everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, and so everyone claims that they are doing it.