Analytic data, by its nature, can be large, challenging to maintain, and grow quickly over time. Similarly, its use increases with time as analysts and data scientists find more ways to crunch it. There is great convenience to having analytic data in close proximity to its underlying transactional sources. Utility is also gained by choosing a location for analytic data that can withstand the test of time, thus avoiding the need for costly migrations if the data is unable to scale appropriately.