Initially, the Big Data ecosystem was described with three Vs: Volume, Variety, and Velocity. This concept was very quickly further expanded so that it soon was four Vs, then five Vs, then seven Vs, nine Vs, and finally ten Vs. At this point the question needs to be asked of whether the term “Big Data” still actually makes sense, or if the concept hasn’t long since become completely watered down and indistinct. The variants Small Data, Little Data, and Smart Data only represent rescue attempts for a concept that really isn’t needed anymore today.
Regardless of its quantity, structure, and speed, data is simply “Just Data”. Much more important than the idiosyncrasies of the data itself is properly defining the business case, embedding analysis projects into the environment of an organization, and selecting the right analytical method.
Read the full article from Alexander Thamm here on Linkedin.