The Big Data revolution promises to transform how we live, work, and think by enabling process optimization, empowering insight discovery and improving decision-making. The realization of this grand potential relies on the ability to extract value from such massive data through data analytics; machine learning is at its core because of its ability to learn from data and provide data driven insights, decisions, and predictions. However, traditional machine learning approaches were developed in a different era and thus are based upon multiple assumptions, such as the dataset fitting entirely into memory, what unfortunately no longer holds true in this new context.