Will this be the year of the “big data hybrid”? What will become of cross-scale architectures and next best action? Will governance finally take center stage? And will data scientists still be sexy? James Kobielus looks at all this and more in his predictions for 2013.
Earlier this week, IBM unveiled its yearly "5 in 5" list - five predictions that forward-thinkers expect will come to be within five years. This year's list envisions computers that will literally "touch" us, as well as see, hear, taste and smell. As Popular Science put it, "Siri suddenly seems
The rise of social media, the cloud, mobility and big data are making threats harder to identify and exposing important information. For businesses and governments, improved data security and privacy should be on the “new year’s resolution” list.
I think we all understand that Big Data is a Big Deal. Every day we are hearing and seeing results that others are achieving and are more than intrigued about what is possible.
The entire concept is a breath of fresh air, a significant breakthrough, that helps us efficiently and effectively harness
Unlike many other Big Data Analytics blogs and books that cover the basics and technological underpinnings, this e-book brings a practitioner’s view to Big Data Analytics. The author has drawn the material from a large number of workshops and interviews with business and IT leaders.
From the White House to your local municipality, government agencies, NGOs and corporations are making more data and applications available to citizens. Government agencies are promoting not only data, but application programming interfaces (APIs) and interactive widgets to help developers get
I will be publishing my third book, Big Data Governance: An Emerging Imperative (MC Press, 2012). at the IBM Information on Demand Conference 2012 in Las Vegas. The book includes contributions from more than 30 IBM and non-IBM individuals.
It also has forewords from:
Inderpal Bhandari, Vice
Why big data doesn’t have to mean big security challenges
What is big data?
Big data spans four dimensions: volume, velocity, variety and veracity.
Volume: Every day 2.5 quintillion bytes of data are generated from new and traditional sources including climate sensors, social media sites,