The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 31, 2023

Filed:

Apr. 17, 2020
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Krishnan Ramanathan, Bengaluru, IN;

Gangadhar Ronanki, Bengaluru, IN;

Aman Madaan, Pittsburgh, PA (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/27 (2019.01); G06Q 10/0637 (2023.01); G06F 16/28 (2019.01); G06Q 30/0201 (2023.01); G06N 5/04 (2023.01); G06F 16/21 (2019.01); G06F 16/25 (2019.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/06375 (2013.01); G06F 16/211 (2019.01); G06F 16/254 (2019.01); G06F 16/27 (2019.01); G06F 16/283 (2019.01); G06F 17/18 (2013.01); G06N 5/04 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0206 (2013.01);
Abstract

In accordance with an embodiment, described herein are systems and methods for use with an analytic applications environment, for automatic generation of asserts in such environments. A data pipeline or process, such as, for example an extract, transform, load (ETL) process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. During the process of populating a data warehouse instance, the system can automatically generate dynamic data-driven ETL asserts, including determining a list of columns for tables in the data warehouse; determining a data type for each column; generating an assert for each determined data type; validating the generated assert; and maintaining the generated assert.


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