Category: Big Data
Big Data is the widely used technology that deals with systematically extracting the information from the large and complex, structured and unstructured data which are difficult to solve using normal data processing software. Big data include capturing data, data storage, data analysis, search, sharing, transfer, visualisation, querying, updating, information privacy and data sources. Big data is generally associated with three main V’s- volume, variety and velocity. When there are large structured and data, we are primarily concerned with observing and tracking those data. Thus, Big data includes data with sizes which are greater to be handled by using normal software.
Today, Big data uses predictive analytics, user behaviour analytics and other typical analytics methods to extract information from data. This analysis of data can be useful in the development of medicine, science, technology and so on. Scientists, business executives, analyst, practitioners of medicine, advertising companies, and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, urban informatics, and business informatics. However, there is a big misconception between Big data and Business Intelligence (BI).
Big data uses mathematical optimisation, statistics and concept of non-linear system identification to conclude laws (correlations, regressions and non-linear relationship effects) from large sets of data which contain low information to reveal relationship or to predict the behaviour and outcomes. Business Intelligence (BI) uses mathematical tools and descriptive statistics with data of high information to measure and calculate outcomes, detect trends and forecast the future of the organisation.