Machine learning is becoming an ever-bigger factor in Big Data analytics. To work with machine learning efficiently, we need to provide a fast way to train models. The best way to do that is by using GPUs to speed up the training.
Most big data tasks include data exploration and analysis. Normally, a data scientist wants to do this without repeating the same data processing steps every time, i.e. he wants to spend as little time as possible on data engineering and as much time as possible on the actual analysis.