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Big Data at Work: The HP Earth Insights Project Launches at HP Discover

Living Wall.jpgAt HP Discover in Barcelona today, HP announced an innovative collaboration with Conservation International—a leading non-governmental organization dedicated to protecting nature for people—to dramatically improve the accuracy and speed of analysis of data collection in environmental science. 



Photo: Emily Neumann, HP

Big Data -- Big Problems or Big Opportunities: HP Enterprise Services Twitter Chat

Is your company suffering from 'big data paralysis?' Wondering when data became big data and exactly what opportunities your enterprise could take advantage of with the right strategy? Join HP Enterprise Services for a Twitter chat on Tuesday, March 19th from 12-1 p.m. CT. Come join the conversation by using the hashtag #HPESchat


It is a big world for big data after all

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?

Informationalize your data while transforming your applications

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.

Synergies of Cloud Computing, Big Data and Analytics across Industries - Nadhan's Top 5

I recently shared my thoughts on the various triggers for Industry Cloud Computing. There are certain synergies that apply across multiple industries thanks to the powerful combination of Cloud and Big Data, which opens up a wealth of data for context-specific analysis. In this post, I am providing a synopsis of the top 5 synergies that can be realized across these three domains:  Big Data, Cloud and Analytics. Subsequently, I plan on providing more context by applying them to various industries in upcoming posts.

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