In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand
Jill Dyché, internationally recognized speaker, author and business consultant, spends her days talking to businesses about big data – how they’re using it, challenges, successes, strategies, plans and more. What she’s hearing again and again from IT leaders is that they have to innovate with big data, move quickly and
The Google Flu Trends application has received negative press since 2013 over its inability to accurately detect flu outbreaks. The latest critique, “The Parable of Google Flu: Traps in Big Data Analysis,” from Science magazine compares Google Flu Trends data to CDC data and dissects where the Google analysis went
