Build A Hybrid Data Processing Footprint Using Dataproc On Google Distributed Cloud
Google News , Friday, May 31st, 2024
Google Cloud customers interested in building or modernizing their data lake infrastructure often need to maintain at least part of their workloads and data on-premises, because of regulatory or operational requirements.
Thanks to Dataproc on Google Distributed Cloud, introduced in preview at Google Cloud Next '24, you can now fully modernize your data lake with cloud-based technology, while building hybrid data processing footprints that allow you to store and process on-prem data that you can't move to the cloud.
Dataproc on Google Distributed Cloud lets you run Apache Spark processing workloads on-prem, using Google-provided hardware located within your data center, while maintaining consistency between the technology you use in the cloud and locally.