What is "big data"

n. A collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications; its processing (capture, storage) or usage (analysis, visualization).http://en.wikipedia.org/wiki/big_data

Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. The term often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.

Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Data sets are growing rapidly in part because they are increasingly gathered by cheap and numerous information-sensing mobile devices, aerial ( remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s; , every day 2.5 exabytes (2.5×10) of data is created. One question for large enterprises is determining who should own big data initiatives that affect the entire organization.

Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires "massively parallel software running on tens, hundreds, or even thousands of servers". What is considered "big data" varies depending on the capabilities of the users and their tools, and expanding capabilities make big data a moving target. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration."

Big Data is an American electronic music project created by producer, Alan Wilkis. Big Data is best known for its single " Dangerous", featuring Joywave, which reached number one on the Billboard Alternative Songs chart in August 2014, and was certified gold by the RIAA in May 2015.

Big Data's first EP, 1.0, was released on October 1, 2013, on Wilkis's own Wilcassettes label and features the songs "The Stroke of Return", "Dangerous", "Big Dater", and "Bombs over Brooklyn". In early December 2013, they also released a remix EP, 1.5, which included eight remixes of the song "Dangerous", including one by Joywave. Another remix EP, 1.6, was released in late September 2014, and included seven remixes of "Dangerous".

Big Data's first studio album, 2.0, was released on March 20, 2015.