BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them.

Detailed explanation-2: -Big data: Any set of data that is too large or too complex to be handled by standard data-processing techniques and typical desktop software.

Detailed explanation-3: -There are four types of analytics, Descriptive, Diagnostic, Predictive, and Prescriptive. The chart below outlines the levels of these four categories. It compares the amount of value-added to an organization versus the complexity it takes to implement.

Detailed explanation-4: -Big data refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around for a long time.

Detailed explanation-5: -What is big data analytics? Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.