公开(公告)号：US20250021586A1

公开(公告)日：2025-01-16

申请号：US18350143

申请日：2023-07-11

Applicant: Cisco Technology, Inc.

Inventor： Derek William Engi ,  Brett Dunstan ,  Peter Jozef Hugo De Vriendt ,  Ravi Garg

IPC: G06F16/28

Abstract: A method for learning potential correlation of data structures and fields across multiple disparate data sources. The method automatically identifies relationships that exist in multiple data sources to facilitate a data broker that can return the “shortest-path-to-data”. The method includes communicating with a data lake that integrates access to data stored in a plurality of different data sources. The method next includes correlating, via the data lake, data fields in data sets across the plurality of different data sources to identify relationships across the plurality of different data sources. A request to access data is obtained, and the method determines that data for the request is stored in two or more data sources of the plurality of different data sources, selects a particular data source of the two or more data sources and retrieves the data for the request from the particular data source.