veracity is the v of big data that determines if the data your organization collected is any good.
veracity is the v of big data that determines if the data your organization collected is any good.
what v of big data determines if the data your organization collected is any good?
veracity
"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 challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. big data was originally associated with three key concepts: "volume", "variety", and "velocity". other concepts later attributed to big data are "veracity (i.e., how much noise is in the data) "and "value."
big data
bullet::::- volume: the quantity of generated and stored data. the size of the data determines the value and potential insight, and whether it can be considered big data or not.









































bullet::::- variety: the type and nature of the data. this helps people who analyze it to effectively use the resulting insight. big data draws from text, images, audio, video; plus it completes missing pieces through data fusion.
big data