公开(公告)号：US11579999B2

公开(公告)日：2023-02-14

申请号：US16846593

申请日：2020-04-13

Applicant: COUPANG CORP.

Inventor： Il Won Nam ,  Seung Hoon Park ,  Ki Young Kim

IPC: G06F11/00 ,  G06F11/30 ,  G06F11/14 ,  G06F16/906 ,  G06F16/25

Abstract: A computer-implemented system for dynamic aggregation of data and minimization of data loss is disclosed. The system may be configured to perform instructions for: aggregating information from a plurality of networked systems by collecting a set of data from the networked systems, the set of data comprising data associated with a predetermined period of time and comprising one or more central variables that are included in data associated with more than one networked systems of the plurality of networked systems and one or more associated variables that describe one or more aspects of the central variables; retrieving one or more data transformation rules based on a relational map among the central variables and the associated variables; and aggregating the first set of data into one or more master data structures corresponding to the central variables based on the data transformation rules.

公开(公告)号：US10657018B1

公开(公告)日：2020-05-19

申请号：US16551091

申请日：2019-08-26

Applicant: COUPANG CORP.

Inventor： Il Won Nam ,  Seung Hoon Park ,  Ki Young Kim

IPC: G06F11/00 ,  G06F11/30 ,  G06F11/14 ,  G06F16/906 ,  G06F16/25

Abstract: A computer-implemented system for dynamic aggregation of data and minimization of data loss is disclosed. The system may be configured to perform instructions for: aggregating information from a plurality of networked systems by collecting a set of data from the networked systems, the set of data comprising data associated with a predetermined period of time and comprising one or more central variables that are included in data associated with more than one networked systems of the plurality of networked systems and one or more associated variables that describe one or more aspects of the central variables; retrieving one or more data transformation rules based on a relational map among the central variables and the associated variables; and aggregating the first set of data into one or more master data structures corresponding to the central variables based on the data transformation rules.