SCHEDULING FOR DATA WAREHOUSE ETL PROCESSING AND DATA MINING EXECUTION

Patent №

US 7,058,615

Granted

2006-06-06

Filed 2003

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

nlp · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10422675

Providing flexibility in scheduling control for an extract, transfer, and load (“ETL”) scheduler in a data warehouse system, including extracting from a computer memory of the data warehouse system a dependent condition for a scheduled ETL processing step of the ETL scheduler, extracting from computer memory related ETL data for the dependent condition, determining whether the ETL data satisfies the dependent condition, and executing the scheduled step if the ETL data satisfies the dependent condition. A sub-scheduler typically is implemented as an interface between an ETL scheduler and external programs without modification of the ETL scheduler. In typical embodiments, an ETL scheduler includes a multiplicity of scheduled ETL processing steps, and computer memory of a data warehouse system includes dependent conditions for at least one of the scheduled ETL processing steps and ETL data related to at least one dependent condition.

Natural languagePlanningG06N 20/00G06F 16/254Y10S 707/99953Y10S 707/99955

AI classification

Planning0.99
Natural language0.58
AI hardware0.44
Knowledge representation0.03
Machine learning0.00
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 140060972

Assignors

YAO, ALBERT ZHONGXING

On an employer assignment, the assignors are typically the inventors.

From the same owner

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