Automated discovery, profiling, and management of data assets across distributed file systems through machine learning
US10983963B1 · kind B1 · utility
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Key dates
| Filing date | Sep 24, 2018 |
| Grant date | Apr 20, 2021 |
| Priority date | — |
| Expiry date | Feb 15, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/2895
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments for locating, identifying and categorizing data-assets through advanced machine learning algorithms implemented by profiler components across Hadoop and Hadoop Compatible File Systems, databases and in-memory objects automatically and periodically to provide a visual representation of the category of data infrastructure distributed across data-centers and multiple clusters, for the purposes of enriching data quality, enabling data discovery and improving outcomes from downstream systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.