公开(公告)号：US12248490B2

公开(公告)日：2025-03-11

申请号：US17076164

申请日：2020-10-21

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Krishnan Ramanathan ,  Aman Madaan ,  Somashekhar Pammar

IPC: G06F16/25 ,  G06F16/22 ,  G06F16/2457 ,  G06F16/28

Abstract: In accordance with various embodiments, described herein are systems and methods for use with an analytic applications environment, for ranking of database tables for use in controlling extract, transform, load (ETL) processes. In accordance with an embodiment, the system uses a ranking algorithm or process to rank database tables and/or table columns associated with a set of data. The table/column rankings can then be used to prioritize ETL processing of a customer's data for use with a data warehouse or other data analytics environment. In accordance with an embodiment, the method includes determining a global rank; a business rank; and a tenant or customer-specific rank, for a plurality of tables and columns in a customer's database; and aggregating or otherwise using the determined rankings to control the ETL process for a particular customer (tenant), to load their data into the data warehouse.

公开(公告)号：US20210049183A1

公开(公告)日：2021-02-18

申请号：US17076164

申请日：2020-10-21

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Krishnan Ramanathan ,  Aman Madaan ,  Somashekhar Pammar

IPC: G06F16/25 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2457

Abstract: In accordance with various embodiments, described herein are systems and methods for use with an analytic applications environment, for ranking of database tables for use in controlling extract, transform, load (ETL) processes. In accordance with an embodiment, the system uses a ranking algorithm or process to rank database tables and/or table columns associated with a set of data. The table/column rankings can then be used to prioritize ETL processing of a customer's data for use with a data warehouse or other data analytics environment. In accordance with an embodiment, the method includes determining a global rank; a business rank; and a tenant or customer-specific rank, for a plurality of tables and columns in a customer's database; and aggregating or otherwise using the determined rankings to control the ETL process for a particular customer (tenant), to load their data into the data warehouse.