There's been a lot of talk recently about people latching onto Big Data as a buzzword and overestimating their needs regarding their own data. However, this recent article from Forbes' CIO Network suggests that a lot of the criticism of Hadoop is unfair, and potentially a bit of a bandwagon itself.
The article briefly tracks the purpose and history of both Hadoop and Big Data, then outlines a number of arguments in favor of Hadoop that look beyond data size, such as language heterogeneity. The focus on Hadoop and its perception as a central representative of Big Data is, according to the article, a misunderstanding of Big Data.
Regardless of which side of the debate you come down on - we're all choosing sides, right? - the article is an interesting read that lays out a compelling argument for the core purposes of both Big Data and Hadoop. Read the full article to get the whole story.