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Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases rows offer greater statistical power , while data with higher complexity more attributes or columns may lead to a higher false discovery rate.
Big data was originally associated with three key concepts: volume , variety , and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value. Current usage of the term big data tends to refer 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.
Scientists encounter limitations in e-Science work, including meteorology , genomics , [5] connectomics , complex physics simulations, biology and environmental research. Data sets grow rapidly, to a certain extent because they are increasingly gathered by cheap and numerous information-sensing Internet of things devices such as mobile devices , aerial remote sensing , software logs, cameras , microphones, radio-frequency identification RFID readers and wireless sensor networks.
By , IDC predicts there will be zettabytes of data. Relational database management systems , desktop statistics [ clarification needed ] and software packages used to visualize data often have difficulty handling big data. The work may require “massively parallel software running on tens, hundreds, or even thousands of servers”. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration. The term has been in use since the s, with some giving credit to John Mashey for popularizing the term.
A definition states “Big data is where parallel computing tools are needed to handle data”, and notes, “This represents a distinct and clearly defined change in the computer science used, via parallel programming theories, and losses of some of the guarantees and capabilities made by Codd’s relational model.
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