Method for In-Database Feature Selection for High-Dimensional Inputs
US-2017316050-A1 · Nov 2, 2017 · US
US10521442B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-10521442-B1 |
| Application number | US-201615268046-A |
| Country | US |
| Kind code | B1 |
| Filing date | Sep 16, 2016 |
| Priority date | Sep 16, 2016 |
| Publication date | Dec 31, 2019 |
| Grant date | Dec 31, 2019 |
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An apparatus in one embodiment comprises at least one processing platform accessible to a plurality of user devices over at least one network. The processing platform implements a hierarchical value-based governance system for data assets of an enterprise. The hierarchical value-based governance system comprises a data asset governance controller, a technical metadata hub, a business metadata hub and a data asset catalog. The data asset catalog is coupled to the technical metadata hub and the business metadata hub and provides integrated technical metadata and business metadata for each of a plurality of the data assets of the enterprise. The data asset governance controller is configured to generate analytics actions for one or more analytics workspaces based at least in part on the integrated technical metadata and business metadata of the data asset catalog. The analytics actions may comprise visualizations providing actionable insights into the corresponding data assets.
Opening claim text (preview).
What is claimed is: 1. An apparatus comprising: at least one processing platform accessible to a plurality of user devices over at least one network; wherein the processing platform implements a hierarchical value-based governance system for data assets of an enterprise; the hierarchical value-based governance system comprising: a data asset governance controller; a technical metadata hub; a business metadata hub; and a data asset catalog coupled to the technical metadata hub and the business metadata hub and providing integrated technical metadata and business metadata for each of a plurality of the data assets of the enterprise; the data asset governance controller being configured to generate analytics actions for one or more analytics workspaces based at least in part on the integrated technical metadata and business metadata of the data asset catalog; wherein the one or more analytics workspaces are part of at least one analytics platform that is separate from the hierarchical value-based governance system; wherein the hierarchical value-based governance system comprises a multi-level hierarchical architecture having at a lower level of the hierarchical architecture an ingestion level configured to ingest data assets from data sources of the enterprise and at an upper level of the hierarchical architecture an action level configured to generate the analytics actions; wherein the multi-level hierarchical architecture further comprises one or more intermediate levels including at least one of a function generation level and an analytical results model level; and wherein the processing platform is implemented by one or more processing devices each comprising a processor coupled to a memory. 2. The apparatus of claim 1 wherein the technical metadata hub comprises a technical metadata store and the business metadata hub comprises a business metadata store. 3. The apparatus of claim 1 wherein at least portions of the technical metadata are obtained by automated scanning of the data assets. 4. The apparatus of claim 1 wherein at least portions of the business metadata are based at least in part on value-based data asset assessments received from corresponding data asset users associated with respective ones of the user devices via at least one user interface of the business metadata hub. 5. The apparatus of claim 1 wherein the technical metadata hub is coupled to the business metadata hub via an integration interface providing access to one or more query application programming interfaces of the technical metadata hub. 6. The apparatus of claim 1 wherein the data assets comprise data ingested into a data lake of the enterprise. 7. The apparatus of claim 1 wherein the technical metadata for a given one of the data assets comprises physical attributes of the given data asset including location, creator, lineage and contents of the given data asset. 8. The apparatus of claim 1 wherein the business metadata for a given one of the data assets comprises semantic and logical attributes of the given data asset including business definition, usage details, business controls and business owner of the given data asset. 9. The apparatus of claim 1 wherein the analytical results model level is configured to facilitate utilization of the data assets in the analytics workspaces by providing at least one of verification and trust assurance for the data assets in accordance with at least one analytical results model. 10. The apparatus of claim 1 wherein the analytics actions generated by the data asset governance controller comprise one or more visualizations providing actionable insights into the corresponding data assets. 11. The apparatus of claim 1 wherein the integrated technical metadata and business metadata for a given one of the data assets of the enterprise provides traceability of the given data asset through multiple levels of the hierarchical architecture of the hierarchical value-based governance system from a corresponding analytics action at an upper one of the levels back to its data source at a lower one of the levels. 12. The apparatus of claim 1 wherein the hierarchical value-based governance system is configured to increase an amount of value-based governance control of the data assets from the lower level of the hierarchical architecture to the upper level of the hierarchical architecture via processing and analysis operations implemented at a plurality of the levels of the hierarchical architecture. 13. A method comprising: implementing a hierarchical value-based governance system; receiving technical metadata and business metadata relating to data assets of an enterprise; configuring a data asset catalog within the hierarchical value-based governance system to provide integrated technical metadata and business metadata for each of a plurality of the data assets of the enterprise; and generating analytics actions for one or more analytics workspaces based at least in part on the integrated technical metadata and business metadata of the data asset catalog; wherein the one or more analytics workspaces are part of at least one analytics platform that is separate from the hierarchical value-based governance system; wherein the hierarchical value-based governance system comprises a multi-level hierarchical architecture having at a lower level of the hierarchical architecture an ingestion level configured to ingest data assets into at least one data lake of the enterprise and at an upper level of the hierarchical architecture an action level configured to generate the analytics actions; wherein the multi-level hierarchical architecture further comprises one or more intermediate levels including at least one of a function generation level and an analytical results model level; and wherein the method is performed by one or more processing devices each comprising a processor coupled to a memory. 14. The method of claim 13 wherein at least portions of the business metadata are based at least in part on value-based data asset assessments received from corresponding data asset users. 15. The method of claim 13 further including increasing an amount of value-based governance control of the data assets from the lower level of the hierarchical architecture to the upper level of the hierarchical architecture via processing and analysis operations implemented at a plurality of the levels of the hierarchical architecture. 16. The method of claim 13 wherein the integrated technical metadata and business metadata for a given one of the data assets of the enterprise provides traceability of the given data asset through multiple levels of the hierarchical architecture of the hierarchical value-based governance system from a corresponding analytics action at an upper one of the levels back to its data source at a lower one of the levels. 17. A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device: to implement a hierarchical value-based governance system; to receive technical metadata and business metadata relating to data assets of an enterprise; to configure a data asset catalog within the hierarchical value-based governance system to provide integrated technical metadata and business metadata for each of a plurality of the data assets of the enterprise; and to generate analytics actions for one or more analytics workspaces base
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