Invention Grant
- Patent Title: Model-driven profiling job generator for data sources
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Application No.: US15832840Application Date: 2017-12-06
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Publication No.: US11023484B2Publication Date: 2021-06-01
- Inventor: Sebastian Nelke , Martin Oberhofer , Yannick Saillet , Jens P. Seifert
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agent Robert C. Bunker
- Main IPC: G06F16/25
- IPC: G06F16/25

Abstract:
Embodiments of the present invention disclose generating a data profiling jobs for source data in a data processing system, the source data being described by at least one source functional data model. A target functional data model is provided, for describing target data that can be generated from the source data. One or more source functional data models are identified that correspond to the target functional data model. At least one functional source-to-target model mapping is associated to at least one source-target pair based on the target functional data model and identified source functional data models. A physical source-to-target model mapping for at least one source-target pair based on the logical source-to-target model mapping is calculated. For all physical source attributes, the needed data profiling jobs are generated based on the target attribute for analyzing the physical source attributes.
Public/Granted literature
- US20180096038A1 MODEL-DRIVEN PROFILING JOB GENERATOR FOR DATA SOURCES Public/Granted day:2018-04-05
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