The term Big Data refers to impressive amounts of data with very specific characteristics that have to be analyzed. This amount is generally so large that unconventional tools are required to process, manage and extract information from them.
When volumes of datasets are impressive and they are generated at important speeds and come from different sources, we can claim to be in the presence of Big Data. The Big Data analysis approach uses inferential statistics to derive relationships between data.
In support of this, the market tends to use, instead of traditional RDBMSs, NoSQL-based solutions and parallel processing concepts designed to maximize computational power and analysis speed.