Large data sets are often located in data centers. If this on-prem environment does not have adequate resources to perform the analysis that a data scientist wants to, they either have to (a) downsample or (b) purchase additional hardware.
In the public cloud, however, data scientists have access to unlimited resources, meaning they can scale up to perform analysis on any size of data. Cloudera Data Platform’s (CDP) hybrid platform enables data scientists to move data between private and public clouds to access the resources they need and then move the results back on-prem to save cloud costs.
Join Cloudera to learn how to:
- Move data between public and private clouds
- Easily explore and visualize data in preparation for machine learning
- Save costs and resources while increasing data usability