Build a hybrid data processing footprint using Dataproc on Google Distributed Cloud
Updated: 2024-05-31 16:00:00
Data Analytics Build a hybrid data processing footprint using Dataproc on Google Distributed Cloud June 1, 2024 Antonio Scaramuzzino Senior Product Manager Chris Nauroth Senior Staff Software Engineer Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it 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 â24, 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 canâ t move to