Automating data load operations for in-memory data warehouses
US12248444B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2023 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Dec 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/283
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Auto-parallel-load techniques are provided for automatically loading database objects from an on-disk database system into an in-memory database system. The auto-parallel-load techniques involve a pipeline that includes several components. In one implementation, each of the pipeline components is configured to receive, extract information from, and add information to, a “state object”. One or more of the pipeline components include logic that is based on the output of a corresponding machine learning model. The machine learning models used by the pipeline components may be trained from training sets from which outliers have been excluded, and may be used as the basis for generating linear models that are used during runtime, to produce estimates that affect the parameters of the auto-parallel-load operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.