Exploring large datasets can not only be challenging but also time consuming. The data science workflow encompasses ETL - where data is fetched from disparate places, data preparation, machine learning model creation and training, and an evaluation of predicted results. While CPU based computng has historically excelled in exploring data lakes, compute time can often be slow - preventing a developer from having a "conversation" with her data....