Register now or log in to join your professional community.
Big data is more a concept than a precise term . BIG DATA is described as high in Volume, Velocity, and Variety -- data that would take too much time and money to load into traditional IT systems and data warehouses for analysis such as SQL.
Data mining is used as one of the technique for analyzing Big Data .Data minning helps to operationalize Big Data.
Data mining refers to extracting or "mining" knowledge from large amounts of data.Data mining is used in many domains, including finance, engineering, biomedicine, and cybersecurity. There are two categories of data-mining methods: supervised and unsupervised.
Big Data mean an overall look among hug data and relationship.
While Data mining talk mainly about details and close look for the data.
That mean we get the Big Data and then we take from it the Mining Data. And later on this Mining data can be also one of the Big Data technology.
Big Data is more relevant to human behaviour analytics through correlation of huge amounts of data amassed through various sources and is more of a marketing tool e.g. social behaviour, call history, buying pattern, production pattern etc. whereas data mining is subjective analysis across any stream for indepth synthesis of information e.g. operational data, manufacturing details, financial, product performance, profitability etc.
BIG DATA is concept and term which mean huge volum and varity data from different sources data mining is knowlage discover gett by the analysis of data to help decision maker
