Explain what big data refers to. What benefits does it have, and what challenges does it pose?

What will be an ideal response?

Big data are datasets with volumes so huge that they are beyond the ability of typical DBMS to capture, store, and analyze. It is created by the explosion of data coming from the web, such as web traffic, email, Twitter, and Facebook, as well as information from other electronic and networked devices such as sensors and meters. Businesses are interested in big data because they contain more patterns and interesting anomalies than smaller data sets, with the potential to provide new insights into customer behavior, weather patterns, financial market activity, or other phenomena. However, to derive business value from these data, organizations need new technologies and tools capable of managing and analyzing non-traditional data along with their traditional enterprise data. They also need to know what questions to ask of the data and limitations of big data. Capturing, storing, and analyzing big data can be expensive, and information from big data may not necessarily help decision makers.