Big Data
Big data has been originally associated with three different attributes: volume, variety, and velocity. Big data analytics treats data in multiple ways as to analyze, systematically extract information from using too large or complex data sets.
Data with many cases (rows) offer greater statistical power. On the other hand, data with higher complexity (more attributes or columns) may lead to higher false discovery rates. Big data challenges include capturing data, data storage, data analysis, data search, data sharing, transfer, visualization, querying, updating, and information privacy related issues.