Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Its challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, and information privacy. Lately, the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. In this chapter, the authors distinguish between fake note and a real note and would like to take it to a level where it can be used everywhere. Its data after the detection of the fakeness and the real note can be stored in the database. The data to store will be huge. To overcome this problem, we can go for big data. It will help to store large amounts of data in no time. The difference between real note and fake note is that real note has its thin strip to be more or less continuous while the fake strip has fragmented thin lines in the strip. One could say that the fake note has more than one line in the thin strip while the real note only has one line. Therefore, if we see just one line, it is real, but if we see more than one line, it is fake. In this chapter, the authors use foreign currency.