Data warehouses have been around for several decades, serving as a central repository of integrated data from disparate sources that meet an enterprise’s reporting and data analysis needs. With the recent advent of newer analytical capabilities driven by machine learning algorithms and a wide array of computational paradigms and data formats, the data warehouse is undergoing a rather rapid modernization into an analytics platform and ecosystem. While there are several aspects that make up what can be…