Big Data Load in Pandas Data Frame
pandas is not good if you have GBS of data it would be better to use distributed architecture to improve speed and efficiency. There is a library called DASK that can load large data and use distributed architecture.
As I am new in Big Data Platform, I would like like to do some feature engineering work with my data. The Database size is about 30-50 Gb. Is is possible to load the full data (30-50Gb) in a data frame like pandas data frame? 
The Database used here is Oracle. I tried to load it but I am getting out of memory error. Furthermore I like to work in Python.