The fast-developing world of data analytics is no stranger to dynamic change and significant advances. Even in that context, though, it is hard not to be excited by what cloud deployment brings to the story. The agility and flexibility enabled by cloud providers such as Amazon Web Services and Microsoft Azure are themselves enough to make IT and analytics minds race at the possibilities.
Just consider, the cloud:
- Is flexible, allowing a business to ramp up processing and storage on demand, making it feasible to experiment and take on new projects.
- Scales with business needs, adding and subtracting resources quickly to keep pace with growth or shifting priorities.
- With the analytics platform deployed in the cloud, people and systems anywhere in the world can easily be granted access (or not) when needed.