Extending Databricks AI and Analytics to Your On-Premises Data
Most modern enterprises have data distributed across a hybrid environment, with some on premises and some in the cloud. But what happens when you try to implement AI or advanced analytics, but your platform for these modern workloads doesn’t work with on-premises data?
Some data cannot move to the cloud because of specific regulations or technical challenges. The question is not whether your data will remain distributed across on-premises and cloud environments. It will.
The question is whether your analytics architecture will treat that separation as a constraint to work around or a reality to design for.
Running successful AI isn’t dependent on having the most data in the cloud. You need to be able to reach all your data today. Download this resource to learn more.