The world of data and analytics continues to evolve and as a result, how enterprises are designing, implementing, and managing data science platforms and infrastructure is changing alongside the availability of new tools and enabling technologies. Next-generation data solution concepts, such as the data lakehouse and data fabric, are gaining a larger foothold in organizations. The adoption of machine learning and complementary technologies, such as knowledge graphs, is rising. There is an increasing emphasis on real-time and edge data in concert with IoT initiatives. All the while, cloud adoption continues to grow – from hybrid to multi-cloud and server less solutions.