Big Data

In information technology, big data is a loosely-defined term used to describe data sets so large and complex that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analysis, and visualization.

Wikipedia Definition & Overview of Big Data
In information technology, big data is a loosely-defined term used to describe data sets so large and complex that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analysis, and visualization.

Big Data–Webopedia

 

Big Data & Air Travel Safety
The technology to make air travel safer exists, but realizing these benefits will require investments in new equipment, integration of information systems, and coordination between government agencies both domestically and internationally.

Big Data Can Be a Big Help to City
New York is one of the most innovative cities in the nation by using data to reduce fire fatalities, enhance relief efforts following Hurricane Sandy and find the source of sewer back-ups, among other examples.

Big Data in Big Companies
This paper describes the overall context for how organizations think about big data, the organizational structure and skills required for big data…etc.

Big Data in Workplace
What happens when Big Data meets Human resources?

Big Data: The next frontier for innovation, competition, and productivity
The amount of data in our world has been exploding, and analyzing large data sets—so-called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus.

IBM Big Data Site
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

TEDxUofM – Jameson Toole – Big Data for Tomorrow
TEDxUofM took place April 8th, 2011 at the historic Michigan Theater on the campus of the University of Michigan, Ann Arbor.

TEDxUVM 2011 – Peter Dodds – Big Data and the Science of Complexity
Peter Dodds is a scientist in the Dept. of Mathematics & Statistics working on large-scale, system-level problems in many fields including sociology, geomorphology, biology, and ecology.

The Age of Big Data
Welcome to the Age of Big Data. The new megarich of Silicon Valley, first at Google and now Facebook, are masters at harnessing the data of the Web — online searches, posts and messages — with Internet advertising. At the World Economic Forum last month in Davos, Switzerland, Big Data was a marquee topic.

The Glory of Big Data
The amount of data available to us is increasingly vast. In 2010 we played, swam, wallowed, and drowned in 1.2 zettabytes of the stuff, and in 2011 the volume is predicted to continue along its exponential growth curve to 1.8 zettabytes. (A zettabyte is a trillion gigabytes; that’s a 1 with 21 zeros trailing behind it.)

The Public Policy Implications of “Big Data”
The Center for Data Innovation argues the potential benefits of data for the economy and society are clear, but it is necessary for policymakers to create the necessary conditions for data-driven innovation to flourish.

What is big data? An introduction to the big data landscape
Big data is data that exceeds the processing capacity of conventional database systems. The hot IT buzzword of 2012, big data has become viable as cost-effective approaches have emerged to tame the volume, velocity and variability of massive data.