Tag: big data

“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 offer greater statistical power, while data with higher complexity may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.Therefore, big data often includes data with sizes that exceed the capacity of traditional usual 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. “There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem.” Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics.

Relational database management systems, desktop statistics 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”. What qualifies as being “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.”