A unified analytic database is a holy grail for data engineers, but what does it look like specifically? It should evolve with the needs of data users.
Vertically, companies now have an ever-enlarging pool of data and expect a higher level of concurrency in data processing. Horizontally, they require a wider range of data analytics services. Besides traditional OLAP scenarios such as statistical reporting and ad-hoc queries, they are also leveraging data analysis in recommender systems, risk control, customer tagging and profiling, and IoT.