公开(公告)号：US20250124049A1

公开(公告)日：2025-04-17

申请号：US18013387

申请日：2022-12-20

Applicant: Google LLC

Inventor： Bin Song ,  Dani Suleman ,  Kiran Kumar Gunda

IPC: G06F16/27

Abstract: Techniques for generating replication data from a data source to be stored in a target location are described herein. A computing system can receive, from a client device, client requirements associated with a dataflow from the data source to the target location. The client requirements can include an expected data freshness value and an expected data query latency value. Additionally, the computing system can process the expected data freshness value with one or more machine-learned models to generate an extraction framework for extracting data from the data source. Moreover, the computing system can process the expected data query latency value with the one or more machine-learned models to generate a loading framework for loading data to the target location. Furthermore, the computing system can copy the replication data from the data source to the target location based on the extraction framework and the loading framework.