In the Information Week Global CIO blog, Patrick Houston says that big is bad when it comes to data, questioning the appropriateness of the term big data. Houston highlights the risk of the term being taken literally by the not-so-technical folks. Big data will continue to spread with emerging associative terms like big data expert, big data technologies, etc. I also see other reactions to this term like the one in this post from Allison Watterson on What do you mean big data, little data is hard enough. Why has big data gained this broad adoption so fast?
The world will have 15 billion devices in 2 years -- twice the number of people on Planet Earth today -- with 50 billion devices projected by 2015, says HP CTO for Communications and Media Solutions, Jeff Edlund in this video live from HP Discover 2012 where he converses with Nigel Upton on the explosion of content and data in the Internet. Jeff characterizes this phenomenon as a Data Tsunami – which I find to be quite apt given these numbers.
Harvard Business Review blogger Thomas C Redman introduces a term -- Informationalization – in his post titled Integrate Data into Products, or Get Left Behind that focuses on a key element of the overall transformation program for an enterprise -- data. Data matters -- if you glean the valuable information from it with proper context. When rationalizing and transforming applications as part of an enterprise transformation program, the modernization strategy applied to a given application influences the manner in which the underlying data is processed -- it is migrated or archived or transformed or replicated -- all in the context of the set of applications being transformed. Redman's article suggests a more holistic approach to data during the transformation program pairing up with the rationalization of applications.