  Big Data concern large-volume, growing data sets that are complex and have
multiple autonomous sources. Earlier technologies were not able to handle
storage and processing of huge data thus Big Data concept comes into existence.
This is a tedious job for users unstructured data. So, there should be some
mechanism which classify unstructured data into organized form which helps user
to easily access required data. Classification techniques over big
transactional database provide required data to the users from large datasets
more simple way. There are two main classification techniques, supervised and
unsupervised. In this paper we focused on to study of different supervised
classification techniques. Further this paper shows a advantages and
limitations.
