Data cleansing has played a significant role in the history of data management as well as data analytics and it is still developing rapidly. Furthermore, data cleansing in big data is considered to be a challenge due to its already high and increasing volume, variety and velocity of data in several applications.
It is needless to say that big data is a common feature, both in small as well as big businesses. However, the greater potential of big data is rather elusive. The truth is that data cannot always be used as it is and needs preparation in a way so that it can be used. Also, data cleaning or cleansing manually gets very slow, tedious and difficult.